From 401fb908887669fad2d83faa7b5ab894e671179a Mon Sep 17 00:00:00 2001 From: Alfonso hernandez Date: Thu, 1 Feb 2024 11:04:30 +0100 Subject: [PATCH] LiveMapData: Implementation --- launch_chffrplus.sh | 2 +- poetry.lock | 2786 ++-- pyproject.toml | 1 + selfdrive/assets/img_world_icon.png | Bin 0 -> 3654 bytes selfdrive/controls/plannerd.py | 2 +- selfdrive/manager/custom_dep.py | 85 + selfdrive/manager/manager.py | 2 + selfdrive/manager/process_config.py | 1 + selfdrive/mapd/config.py | 7 + selfdrive/mapd/lib/NodesData.py | 392 + selfdrive/mapd/lib/Route.py | 340 + selfdrive/mapd/lib/WayCollection.py | 85 + selfdrive/mapd/lib/WayRelation.py | 421 + selfdrive/mapd/lib/WayRelationIndex.py | 34 + selfdrive/mapd/lib/default_speeds.json | 111 + selfdrive/mapd/lib/geo.py | 66 + selfdrive/mapd/lib/osm.py | 37 + selfdrive/mapd/mapd.py | 266 + selfdrive/mapd/test/__init__.py | 0 selfdrive/mapd/test/mock_data.py | 266 + selfdrive/mapd/test/mock_osm_response_01.xml | 9908 ++++++++++++++ selfdrive/mapd/test/mock_osm_response_02.xml | 11529 +++++++++++++++++ selfdrive/mapd/test/test_NodesData.py | 354 + selfdrive/mapd/test/test_WayRelation.py | 651 + selfdrive/mapd/test/test_WayRelationIndex.py | 74 + selfdrive/mapd/test/test_geo.py | 234 + selfdrive/ui/qt/onroad.cc | 18 + selfdrive/ui/qt/onroad.h | 6 + selfdrive/ui/ui.cc | 2 +- 29 files changed, 26278 insertions(+), 1402 deletions(-) create mode 100644 selfdrive/assets/img_world_icon.png create mode 100755 selfdrive/manager/custom_dep.py create mode 100644 selfdrive/mapd/config.py create mode 100644 selfdrive/mapd/lib/NodesData.py create mode 100644 selfdrive/mapd/lib/Route.py create mode 100644 selfdrive/mapd/lib/WayCollection.py create mode 100644 selfdrive/mapd/lib/WayRelation.py create mode 100644 selfdrive/mapd/lib/WayRelationIndex.py create mode 100644 selfdrive/mapd/lib/default_speeds.json create mode 100644 selfdrive/mapd/lib/geo.py create mode 100644 selfdrive/mapd/lib/osm.py create mode 100644 selfdrive/mapd/mapd.py create mode 100644 selfdrive/mapd/test/__init__.py create mode 100644 selfdrive/mapd/test/mock_data.py create mode 100644 selfdrive/mapd/test/mock_osm_response_01.xml create mode 100644 selfdrive/mapd/test/mock_osm_response_02.xml create mode 100644 selfdrive/mapd/test/test_NodesData.py create mode 100644 selfdrive/mapd/test/test_WayRelation.py create mode 100644 selfdrive/mapd/test/test_WayRelationIndex.py create mode 100644 selfdrive/mapd/test/test_geo.py diff --git a/launch_chffrplus.sh b/launch_chffrplus.sh index 9fe9b1bd15f23f..712b9911af9268 100755 --- a/launch_chffrplus.sh +++ b/launch_chffrplus.sh @@ -84,7 +84,7 @@ function launch { # start manager cd selfdrive/manager - ./build.py && ./manager.py + ./custom_dep.py && ./build.py && ./manager.py # if broken, keep on screen error while true; do sleep 1; done diff --git a/poetry.lock b/poetry.lock index 3b4fdea7594f89..34c8b788159955 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2,111 +2,98 @@ [[package]] 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'liveMapData'], poll=['radarState', 'modelV2'], ignore_avg_freq=['radarState']) while True: diff --git a/selfdrive/manager/custom_dep.py b/selfdrive/manager/custom_dep.py new file mode 100755 index 00000000000000..1841b409b5962d --- /dev/null +++ b/selfdrive/manager/custom_dep.py @@ -0,0 +1,85 @@ +#!/usr/bin/env python3 +import os +import sys +import errno +import shutil +import time +from urllib.request import urlopen +from glob import glob +import subprocess +import importlib.util + +# NOTE: Do NOT import anything here that needs be built (e.g. params) +from openpilot.common.spinner import Spinner +from openpilot.common.basedir import BASEDIR + +sys.path.append(os.path.join(BASEDIR, "third_party")) +OPSPLINE_SPEC = importlib.util.find_spec('scipy') +OVERPY_SPEC = importlib.util.find_spec('overpy') +MAX_BUILD_PROGRESS = 100 +TMP_DIR = '/data/tmp' +THIRD_PARTY_DIR = '/data/openpilot/third_party' + + +def wait_for_internet_connection(return_on_failure=False): + retries = 0 + while True: + try: + _ = urlopen('https://www.google.com/', timeout=10) + return True + except Exception as e: + print(f'Wait for internet failed: {e}') + if return_on_failure and retries == 15: + return False + retries += 1 + time.sleep(2) # Wait for 2 seconds before retrying + + +def install_dep(spinner): + wait_for_internet_connection() + + TOTAL_PIP_STEPS = 2986 + + try: + os.makedirs(TMP_DIR) + except OSError as e: + if e.errno != errno.EEXIST: + raise + my_env = os.environ.copy() + my_env['TMPDIR'] = TMP_DIR + + pip_target = [f'--target={THIRD_PARTY_DIR}'] + packages = [] + if OPSPLINE_SPEC is None: + packages.append('scipy==1.7.1') + if OVERPY_SPEC is None: + packages.append('overpy==0.6') + + pip = subprocess.Popen([sys.executable, "-m", "pip", "install", "-v"] + pip_target + packages, + stdout=subprocess.PIPE, env=my_env) + + # Read progress from pip and update spinner + steps = 0 + while True: + output = pip.stdout.readline() + if pip.poll() is not None: + break + if output: + steps += 1 + spinner.update_progress(MAX_BUILD_PROGRESS * min(1., steps / TOTAL_PIP_STEPS), 100.) + print(output.decode('utf8', 'replace')) + + shutil.rmtree(TMP_DIR) + os.unsetenv('TMPDIR') + + # remove numpy installed to THIRD_PARTY_DIR since numpy is already present in the AGNOS image + if OPSPLINE_SPEC is None: + for directory in glob(f'{THIRD_PARTY_DIR}/numpy*'): + shutil.rmtree(directory) + shutil.rmtree(f'{THIRD_PARTY_DIR}/bin') + + +if __name__ == "__main__" and (OPSPLINE_SPEC is None or OVERPY_SPEC is None): + spinner = Spinner() + spinner.update_progress(0, 100) + install_dep(spinner) diff --git a/selfdrive/manager/manager.py b/selfdrive/manager/manager.py index 09e33b20b40e52..32cc6ed1dc0013 100755 --- a/selfdrive/manager/manager.py +++ b/selfdrive/manager/manager.py @@ -25,6 +25,8 @@ is_tested_branch, is_release_branch +sys.path.append(os.path.join(BASEDIR, "third_party")) + def manager_init() -> None: # update system time from panda diff --git a/selfdrive/manager/process_config.py b/selfdrive/manager/process_config.py index 320958d3440515..04e63f80d6bda2 100644 --- a/selfdrive/manager/process_config.py +++ b/selfdrive/manager/process_config.py @@ -81,6 +81,7 @@ def only_offroad(started, params, CP: car.CarParams) -> bool: PythonProcess("updated", "selfdrive.updated", only_offroad, enabled=not PC), PythonProcess("uploader", "system.loggerd.uploader", always_run), PythonProcess("statsd", "selfdrive.statsd", always_run), + PythonProcess("mapd", "selfdrive.mapd.mapd", only_onroad), # debug procs NativeProcess("bridge", "cereal/messaging", ["./bridge"], notcar), diff --git a/selfdrive/mapd/config.py b/selfdrive/mapd/config.py new file mode 100644 index 00000000000000..5d122422cad743 --- /dev/null +++ b/selfdrive/mapd/config.py @@ -0,0 +1,7 @@ +# Map query config + +QUERY_RADIUS = 3000 # mts. Radius to use on OSM data queries. +MIN_DISTANCE_FOR_NEW_QUERY = 1000 # mts. Minimum distance to query area edge before issuing a new query. +FULL_STOP_MAX_SPEED = 1.39 # m/s Max speed for considering car is stopped. +LOOK_AHEAD_HORIZON_TIME = 15. # s. Time horizon for look ahead of turn speed sections to provide on liveMapData msg. +LANE_WIDTH = 3.7 # Lane width estimate. Used for detecting departures from way. diff --git a/selfdrive/mapd/lib/NodesData.py b/selfdrive/mapd/lib/NodesData.py new file mode 100644 index 00000000000000..7b681024aeb916 --- /dev/null +++ b/selfdrive/mapd/lib/NodesData.py @@ -0,0 +1,392 @@ +import numpy as np +from enum import Enum +from openpilot.selfdrive.mapd.lib.geo import DIRECTION, R, vectors + +from scipy.interpolate import splev, splprep + + +_TURN_CURVATURE_THRESHOLD = 0.002 # 1/mts. A curvature over this value will generate a speed limit section. +_MAX_LAT_ACC = 2.3 # Maximum lateral acceleration in turns. +_SPLINE_EVAL_STEP = 5 # mts for spline evaluation for curvature calculation +_MIN_SPEED_SECTION_LENGTH = 100. # mts. Sections below this value will not be split in smaller sections. +_MAX_CURV_DEVIATION_FOR_SPLIT = 2. # Split a speed section if the max curvature deviates from mean by this factor. +_MAX_CURV_SPLIT_ARC_ANGLE = 90. # degrees. Arc section to split into new speed section around max curvature. +_MIN_NODE_DISTANCE = 50. # mts. Minimum distance between nodes for spline evaluation. Data is enhanced if not met. +_ADDED_NODES_DIST = 15. # mts. Distance between added nodes when data is enhanced for spline evaluation. +_DIVERTION_SEARCH_RANGE = [-200., 50.] # mt. Range of distance to current location for diversion search. + + +def nodes_raw_data_array_for_wr(wr, drop_last=False): + """Provides an array of raw node data (id, lat, lon, speed_limit) for all nodes in way relation + """ + sl = wr.speed_limit + data = np.array([(n.id, n.lat, n.lon, sl) for n in wr.way.nodes], dtype=float) + + # reverse the order if way direction is backwards + if wr.direction == DIRECTION.BACKWARD: + data = np.flip(data, axis=0) + + # drop last if requested + return data[:-1] if drop_last else data + + +def node_calculations(points): + """Provides node calculations based on an array of (lat, lon) points in radians. + points is a (N x 1) array where N >= 3 + """ + if len(points) < 3: + raise(IndexError) + + # Get the vector representation of node points in cartesian plane. + # (N-1, 2) array. Not including (0., 0.) + v = vectors(points) * R + + # Calculate the vector magnitudes (or distance) + # (N-1, 1) array. No distance for v[-1] + d = np.linalg.norm(v, axis=1) + + # Calculate the bearing (from true north clockwise) for every node. + # (N-1, 1) array. No bearing for v[-1] + b = np.arctan2(v[:, 0], v[:, 1]) + + # Add origin to vector space. (i.e first node in list) + v = np.concatenate(([[0., 0.]], v)) + + # Provide distance to previous node and distance to next node + dp = np.concatenate(([0.], d)) + dn = np.concatenate((d, [0.])) + + # Provide cumulative distance on route + dr = np.cumsum(dp, axis=0) + + # Bearing of last node should keep bearing from previous. + b = np.concatenate((b, [b[-1]])) + + return v, dp, dn, dr, b + + +def spline_curvature_calculations(vect, dist_prev): + """Provides an array of curvatures and its distances by applying a spline interpolation + to the path described by the nodes data. + """ + # We need to artificially enhance the data before applying spline interpolation to avoid getting + # inexistent curvature values close to irregularities on the road when the resolution of nodes data + # approaching the irregularity is low. + + # - Find indexes where dist_prev is greater than threshold + too_far_idxs = np.nonzero(dist_prev >= _MIN_NODE_DISTANCE)[0] + + # - Traversing in reverse order, enhance data by adding points at the found indexes. + for idx in too_far_idxs[::-1]: + dp = dist_prev[idx] # distance of vector that needs to be replaced by higher resolution vectors. + n = int(np.ceil(dp / _ADDED_NODES_DIST)) # number of vectors that need to be added. + new_v = vect[idx, :] / n # new relative vector to insert. + vect = np.delete(vect, idx, axis=0) # remove the relative vector to be replaced by the insertion of new vectors. + vect = np.insert(vect, [idx] * n, [new_v] * n, axis=0) # insert n new relative vectors + + # Data is now enhanced, we can proceed with curvature evaluation. + # - Create cumulative arrays for distance traveled and vector (x, y) + ds = np.cumsum(dist_prev, axis=0) + vs = np.cumsum(vect, axis=0) + + # - spline interpolation + tck, u = splprep([vs[:, 0], vs[:, 1]]) # pylint: disable=unbalanced-tuple-unpacking + + # - evaluate every _SPLINE_EVAL_STEP mts. + n = max(int(ds[-1] / _SPLINE_EVAL_STEP), len(u)) + unew = np.arange(0, n + 1) / n + + # - get derivatives + d1 = splev(unew, tck, der=1) + d2 = splev(unew, tck, der=2) + + # - calculate curvatures + num = d1[0] * d2[1] - d1[1] * d2[0] + den = (d1[0]**2 + d1[1]**2)**(1.5) + curv = num / den + curv_ds = unew * ds[-1] + + return curv, curv_ds + + +def speed_section(curv_sec): + """Map curvature section data into turn speed sections data. + Returns: [section start distance, section end distance, speed limit based on max curvature, sing of curvature] + """ + max_curv_idx = np.argmax(curv_sec[:, 0]) + start = np.amin(curv_sec[:, 2]) + end = np.amax(curv_sec[:, 2]) + + return np.array([start, end, np.sqrt(_MAX_LAT_ACC / curv_sec[max_curv_idx, 0]), curv_sec[max_curv_idx, 1]]) + + +def split_speed_section_by_sign(curv_sec): + """Will split the given curvature section in subsections if there is a change of sign on the curvature value + in the section. + """ + # Find the indexes where the curvatures change signs (if any). + c_idx = np.nonzero(np.diff(curv_sec[:, 1]))[0] + 1 + + # Split section base on change of sign. + return np.split(curv_sec, c_idx) + + +def split_speed_section_by_curv_degree(curv_sec): + """Will split the given curvature section in subsections as to isolate peaks of turn with substantially + higher curvature values. This will aid on preventing having very long turn sections with low speed limit + that is only really necessary for a small region of the section. + """ + # Only consider splitting a section if long enough. + length = curv_sec[-1, 2] - curv_sec[0, 2] + if length <= _MIN_SPEED_SECTION_LENGTH: + return [curv_sec] + + # Only split if max curvature deviates substantially from mean curvature. + max_curv_idx = np.argmax(curv_sec[:, 0]) + max_curv = curv_sec[max_curv_idx, 0] + mean_curv = np.mean(curv_sec[:, 0]) + if max_curv / mean_curv <= _MAX_CURV_DEVIATION_FOR_SPLIT: + return [curv_sec] + + # Calculate where to split as to isolate a curve section around the max curvature peak. + arc_side = (np.radians(_MAX_CURV_SPLIT_ARC_ANGLE) / max_curv) / 2. + arc_side_idx_lenght = int(np.ceil(arc_side / _SPLINE_EVAL_STEP)) + split_idxs = [max_curv_idx - arc_side_idx_lenght, max_curv_idx + arc_side_idx_lenght] + split_idxs = list(filter(lambda idx: idx > 0 and idx < len(curv_sec) - 1, split_idxs)) + + # If the arc section to split extendes outside the section, then no need to split. + if len(split_idxs) == 0: + return [curv_sec] + + # Create the splits and split the resulting sections recursevly. + splits = [split_speed_section_by_curv_degree(cs) for cs in np.split(curv_sec, split_idxs)] + + # Flatten the results and return the new list of curvature sections. + curv_secs = [cs for split in splits for cs in split] + return curv_secs + + +def speed_limits_for_curvatures_data(curv, dist): + """Provides the calculations for the speed limits from the curvatures array and distances, + by providing distances to curvature sections and corresponding speed limit values as well as + curvature direction/sign. + """ + # Prepare a data array for processing with absolute curvature values, curvature sign and distances. + curv_abs = np.abs(curv) + data = np.column_stack((curv_abs, np.sign(curv), dist)) + + # Find where curvatures overshoot turn curvature threshold and define as section + is_section = curv_abs >= _TURN_CURVATURE_THRESHOLD + + # Find the indexes where the sections start and end. i.e. change indexes. + c_idx = np.nonzero(np.diff(is_section))[0] + 1 + + # Create independent arrays for each split section base on change indexes. + splits = np.array(np.split(data, c_idx), dtype=object) + + # Filter the splits to keep only the curvature section arrays by getting the odd or even split arrays depending + # on whether the first split is a curvature split or not. + curv_sec_idxs = np.arange(0 if is_section[0] else 1, len(splits), 2, dtype=int) + curv_secs = splits[curv_sec_idxs] + + # Further split the curv sections by sign change + sub_secs = [split_speed_section_by_sign(cs) for cs in curv_secs] + curv_secs = [cs for sub_sec in sub_secs for cs in sub_sec] + + # Further split the curv sections by degree of curvature + sub_secs = [split_speed_section_by_curv_degree(cs) for cs in curv_secs] + curv_secs = [cs for sub_sec in sub_secs for cs in sub_sec] + + # Return an array where each row represents a turn speed limit section. + # [start, end, speed_limit, curvature_sign] + return np.array([speed_section(cs) for cs in curv_secs]) + +def is_wr_a_valid_divertion_from_node(wr, node_id, wr_ids): + """ + Evaluates if the way relation `wr` is a valid diversion from node with id `node_id`. + A valid diversion is a way relation with an edge node with the given `node_id` that is not already included + in the list of way relations in the route (`wr_ids`) and that can be travaled in the direction as if starting + from node with id `node_id` + """ + if wr.id in wr_ids: + return False + wr.update_direction_from_starting_node(node_id) + return not wr.is_prohibited + + +class SpeedLimitSection(): + """And object representing a speed limited road section ahead. + provides the start and end distance and the speed limit value + """ + def __init__(self, start, end, value): + self.start = start + self.end = end + self.value = value + + def __repr__(self): + return f'from: {self.start}, to: {self.end}, limit: {self.value}' + + +class TurnSpeedLimitSection(SpeedLimitSection): + def __init__(self, start, end, value, sign): + super().__init__(start, end, value) + self.curv_sign = sign + + def __repr__(self): + return f'{super().__repr__()}, sign: {self.curv_sign}' + + +class NodeDataIdx(Enum): + """Column index for data elements on NodesData underlying data store. + """ + node_id = 0 + lat = 1 + lon = 2 + speed_limit = 3 + x = 4 # x value of cartesian vector representing the section between last node and this node. + y = 5 # y value of cartesian vector representing the section between last node and this node. + dist_prev = 6 # distance to previous node. + dist_next = 7 # distance to next node + dist_route = 8 # cumulative distance on route + bearing = 9 # bearing of the vector departing from this node. + + +class NodesData: + """Container for the list of node data from a ordered list of way relations to be used in a Route + """ + def __init__(self, way_relations, wr_index): + self._nodes_data = np.array([]) + self._divertions = [[]] + self._curvature_speed_sections_data = np.array([]) + + way_count = len(way_relations) + if way_count == 0: + return + + # We want all the nodes from the last way section + nodes_data = nodes_raw_data_array_for_wr(way_relations[-1]) + + # For the ways before the last in the route we want all the nodes but the last, as that one is the first on + # the next section. Collect them, append last way node data and concatenate the numpy arrays. + if way_count > 1: + wrs_data = tuple([nodes_raw_data_array_for_wr(wr, drop_last=True) for wr in way_relations[:-1]]) + wrs_data += (nodes_data,) + nodes_data = np.concatenate(wrs_data) + + # Get a subarray with lat, lon to compute the remaining node values. + lat_lon_array = nodes_data[:, [1, 2]] + points = np.radians(lat_lon_array) + # Ensure we have more than 3 points, if not calculations are not possible. + if len(points) <= 3: + return + vect, dist_prev, dist_next, dist_route, bearing = node_calculations(points) + + # append calculations to nodes_data + # nodes_data structure: [id, lat, lon, speed_limit, x, y, dist_prev, dist_next, dist_route, bearing] + self._nodes_data = np.column_stack((nodes_data, vect, dist_prev, dist_next, dist_route, bearing)) + + # Build route diversion options data from the wr_index. + wr_ids = [wr.id for wr in way_relations] + self._divertions = [[wr for wr in wr_index.way_relations_with_edge_node_id(node_id) + if is_wr_a_valid_divertion_from_node(wr, node_id, wr_ids)] + for node_id in nodes_data[:, 0]] + + # Store calculations for curvature sections speed limits. We need more than 3 points to be able to process. + # _curvature_speed_sections_data structure: [dist_start, dist_stop, speed_limits, curv_sign] + if len(vect) > 3: + curv, curv_ds = spline_curvature_calculations(vect, dist_prev) + self._curvature_speed_sections_data = speed_limits_for_curvatures_data(curv, curv_ds) + + @property + def count(self): + return len(self._nodes_data) + + def get(self, node_data_idx): + """Returns the array containing all the elements of a specific NodeDataIdx type. + """ + if len(self._nodes_data) == 0 or node_data_idx.value >= self._nodes_data.shape[1]: + return np.array([]) + + return self._nodes_data[:, node_data_idx.value] + + def speed_limits_ahead(self, ahead_idx, distance_to_node_ahead): + """Returns and array of SpeedLimitSection objects for the actual route ahead of current location + """ + if len(self._nodes_data) == 0 or ahead_idx is None: + return [] + + # Find the cumulative distances where speed limit changes. Build Speed limit sections for those. + dist = np.concatenate(([distance_to_node_ahead], self.get(NodeDataIdx.dist_next)[ahead_idx:])) + dist = np.cumsum(dist, axis=0) + sl = self.get(NodeDataIdx.speed_limit)[ahead_idx - 1:] + sl_next = np.concatenate((sl[1:], [0.])) + + # Create a boolean mask where speed limit changes and filter values + sl_change = sl != sl_next + distances = dist[sl_change] + speed_limits = sl[sl_change] + + # Create speed limits sections combining all continuous nodes that have same speed limit value. + start = 0. + limits_ahead = [] + for idx, end in enumerate(distances): + limits_ahead.append(SpeedLimitSection(start, end, speed_limits[idx])) + start = end + + return limits_ahead + + def distance_to_end(self, ahead_idx, distance_to_node_ahead): + if len(self._nodes_data) == 0 or ahead_idx is None: + return None + + return np.sum(np.concatenate(([distance_to_node_ahead], self.get(NodeDataIdx.dist_next)[ahead_idx:]))) + + def curvatures_speed_limit_sections_ahead(self, ahead_idx, distance_to_node_ahead): + """Returns and array of TurnSpeedLimitSection objects for the actual route ahead of current location for + speed limit sections due to curvatures in the road. + """ + if len(self._curvature_speed_sections_data) == 0 or ahead_idx is None: + return [] + + # Find the current distance traveled so far on the route. + dist_curr = self.get(NodeDataIdx.dist_route)[ahead_idx] - distance_to_node_ahead + + # Filter the sections to get only those where the stop distance is ahead of current. + sec_filter = self._curvature_speed_sections_data[:, 1] > dist_curr + data = self._curvature_speed_sections_data[sec_filter] + + # Offset distances to current distance. + data[:, [0, 1]] -= dist_curr + + # Create speed limits sections + limits_ahead = [TurnSpeedLimitSection(max(0., d[0]), d[1], d[2], d[3]) for d in data] + + return limits_ahead + + def possible_divertions(self, ahead_idx, distance_to_node_ahead): + """ Returns and array with the way relations the route could possible divert to by finding + the alternative way diversions on the nodes in the vicinity of the current location. + """ + if len(self._nodes_data) == 0 or ahead_idx is None: + return [] + + dist_route = self.get(NodeDataIdx.dist_route) + rel_dist = dist_route - dist_route[ahead_idx] + distance_to_node_ahead + valid_idxs = np.nonzero(np.logical_and(rel_dist >= _DIVERTION_SEARCH_RANGE[0], + rel_dist <= _DIVERTION_SEARCH_RANGE[1]))[0] + valid_divertions = [self._divertions[i] for i in valid_idxs] + + return [wr for wrs in valid_divertions for wr in wrs] # flatten. + + def distance_to_node(self, node_id, ahead_idx, distance_to_node_ahead): + """ + Provides the distance to a specific node in the route identified by `node_id` in reference to the node ahead + (`ahead_idx`) and the distance from current location to the node ahead (`distance_to_node_ahead`). + """ + node_ids = self.get(NodeDataIdx.node_id) + node_idxs = np.nonzero(node_ids == node_id)[0] + if len(self._nodes_data) == 0 or ahead_idx is None or len(node_idxs) == 0: + return None + + return self.get(NodeDataIdx.dist_route)[node_idxs[0]] - self.get(NodeDataIdx.dist_route)[ahead_idx] + \ + distance_to_node_ahead diff --git a/selfdrive/mapd/lib/Route.py b/selfdrive/mapd/lib/Route.py new file mode 100644 index 00000000000000..d1b48baae96666 --- /dev/null +++ b/selfdrive/mapd/lib/Route.py @@ -0,0 +1,340 @@ +from openpilot.selfdrive.mapd.lib.NodesData import NodesData, NodeDataIdx +from openpilot.selfdrive.mapd.config import QUERY_RADIUS +from openpilot.selfdrive.mapd.lib.geo import ref_vectors, R, distance_to_points +from itertools import compress +import numpy as np + + +_ACCEPTABLE_BEARING_DELTA_COSINE = -0.7 # Continuation paths with a bearing of 180 +/- 45 degrees. +_MAX_ALLOWED_BEARING_DELTA_COSINE_AT_EDGE = -0.3420 # bearing delta at route edge must be 180 +/- 70 degrees. +_MAP_DATA_EDGE_DISTANCE = 50 # mts. Consider edge of map data from this distance to edge of query radius. + + +class Route(): + """A set of consecutive way relations forming a default driving route. + """ + def __init__(self, current, wr_index, way_collection_id, query_center): + """Create a Route object from a given `wr_index` (Way relation index) + + Args: + current (WayRelation): The Way Relation that is currently located. It must be active. + wr_index (WayRelationIndex): The indexes of WayRelations by node id. + way_collection_id (UUID): The id of the Way Collection that created this Route. + query_center (Numpy Array): lat, lon] numpy array in radians indicating the center of the data query. + """ + self.way_collection_id = way_collection_id + self._ordered_way_relations = [] + self._nodes_data = None + self._reset() + + # An active current way is needed to be able to build a route + if not current.active: + return + + # Build the route by finding iteratavely the best matching ways continuing after the end of the + # current (last_wr) way. Use the index to find the continuation possibilities on each iteration. + last_wr = current + ordered_way_ids = [] + split_wrs = [] + while True: + # - Append current element to the route list of ordered way relations. + self._ordered_way_relations.append(last_wr) + ordered_way_ids.append(last_wr.id) + + # - Get the id of the node at the end of the way and then fetch the way relations that share the end node id. + last_node_id = last_wr.last_node.id + way_relations = wr_index.way_relations_with_edge_node_id(last_node_id) + + # - Add split way relations when necessary and remove parent way relations. + split_wrs_to_add = [wr for wr in split_wrs if last_node_id in wr.edge_nodes_ids] + way_relations.extend(split_wrs_to_add) + parent_ids = [wr.parent_wr_id for wr in split_wrs_to_add] + way_relations = [wr for wr in way_relations if wr.id not in parent_ids] + + # - If no more way_relations than last_wr, we have to check if we join another wr on an internal node, and + # if we do, we replace such way relation with the split of it and continue. + if len(way_relations) == 1: + way_relations = wr_index.way_relations_with_node_id(last_node_id) + # If no more way_relations than last_wr or its parent, we got to the end. + if len(way_relations) == 1: + break + + # If last_wr is a split, replace its parent with last_wr + way_relations = [last_wr if wr is last_wr.parent else wr for wr in way_relations] + + # If we join a wr on an internal node, then we artificially split the wr in two and pass both wrs as + # candidates to the wr selection code below. + wr_to_split = [wr for wr in way_relations if wr is not last_wr][0] + next_split_way_id = -len(split_wrs) - 1 # Keep split wrs ids unique on Route + new_wrs = wr_to_split.split(last_node_id, [next_split_way_id, next_split_way_id - 1]) + # If it could not be split, we are done. + if len(new_wrs) != 2: + break + + # Replace the original way relation for the split version on way_relations and track split wrs. + split_wrs.extend(new_wrs) + way_relations.remove(wr_to_split) + way_relations.extend(new_wrs) + + # - Get the coordinates for the edge node and build the array of coordinates for the nodes before the edge node + # on each of the common way relations, then get the vectors in cartesian plane for the end sections of each way. + ref_point = last_wr.last_node_coordinates + points = np.array([wr.node_before_edge_coordinates(last_node_id) for wr in way_relations]) + v = ref_vectors(ref_point, points) * R + + # - Calculate the bearing (from true north clockwise) for every end section of each way. + b = np.arctan2(v[:, 0], v[:, 1]) + + # - Find index of las_wr section and calculate deltas of bearings to the other sections. + last_wr_idx = way_relations.index(last_wr) + b_ref = b[last_wr_idx] + delta = b - b_ref + + # - Update the direction of the possible route continuation ways as starting from last_node_id. + # Make sure to exclude any ways already included in the ordered list as to not modify direction when there + # are looping roads (like roundabouts). A way will never be included twice in a route anyway. + for wr in way_relations: + if wr.id not in ordered_way_ids: + wr.update_direction_from_starting_node(last_node_id) + + # - Filter the possible route continuation way relations: + # - exclude any way already added to the ordered list. + # - exclude all way relations that are prohibited due to traffic direction. + mask = [wr.id not in ordered_way_ids and not wr.is_prohibited for wr in way_relations] + way_relations = list(compress(way_relations, mask)) + delta = delta[mask] + + # if no options left, we got to the end. + if len(way_relations) == 0: + break + + # - The cosine of the bearing delta will aid us in choosing the way that continues. The cosine is + # minimum (-1) for a perfect straight continuation as delta would be pi or -pi. + cos_delta = np.cos(delta) + + def pick_best_idx(cos_delta, way_relations_, last_wr_): + """Selects the best index on `cos_delta` array for a way that continues the route. + In principle we want to choose the way that continues as straight as possible. + Bue we need to make sure that if there are 2 or more ways continuing relatively straight, then we + need to disambiguate, either by matching the `ref` or `name` value of the continuing way with the + last way selected. + This can prevent cases where the chosen route could be for instance an exit ramp of a way due to the fact + that the ramp has a better match on bearing to previous way. We choose to stay on the road with the same `ref` + or `name` value if available. + If there is no ambiguity or there are no `name` or `ref` values to disambiguate, then we pick the one with + the straightest following direction. + """ + # Find the indexes of the cosine of the deltas that are considered straight enough to continue. + idxs = np.nonzero(cos_delta < _ACCEPTABLE_BEARING_DELTA_COSINE)[0] + + # If no amiguity or no way to break it, just return the straightest line. + if len(idxs) <= 1 or (last_wr_.ref is None and last_wr_.name is None): + # The section with the best continuation is the one with a bearing delta closest to pi. This is equivalent + # to taking the one with the smallest cosine of the bearing delta, as cosine is minimum (-1) on both pi + # and -pi. + return np.argmin(cos_delta) + + wrs = [way_relations_[idx] for idx in idxs] + + # If we find a continuation way with the same reference we just choose it. + refs = [wr.ref for wr in wrs] + if last_wr_.ref is not None: + idx = next((idx for idx, ref in enumerate(refs) if ref == last_wr_.ref), None) + if idx is not None: + return idxs[idx] + + # If we find a continuation way with the same name we just choose it. + names = [wr.name for wr in wrs] + if last_wr_.name is not None: + idx = next((idx for idx, name in enumerate(names) if name == last_wr_.name), None) + if idx is not None: + return idxs[idx] + + # We did not manage to disambiguate, choose straightest path. + return np.argmin(cos_delta) + + # Get the index of the continuation way. + best_idx = pick_best_idx(cos_delta, way_relations, last_wr) + + # - Make sure to not select as route continuation a way that turns too much if we are close to the border of + # map data queried. This is to avoid building a route that takes a sharp turn just because we do not have the + # data for the way that actually continues straight. + if cos_delta[best_idx] > _MAX_ALLOWED_BEARING_DELTA_COSINE_AT_EDGE: + dist_to_center = distance_to_points(query_center, np.array([ref_point]))[0] + if dist_to_center > QUERY_RADIUS - _MAP_DATA_EDGE_DISTANCE: + break + + # - Select next way. + last_wr = way_relations[best_idx] + + # Build the node data from the ordered list of way relations + self._nodes_data = NodesData(self._ordered_way_relations, wr_index) + + # Locate where we are in the route node list. + self._locate() + + def __repr__(self): + count = self._nodes_data.count if self._nodes_data is not None else None + return f'Route: {self.way_collection_id}, idx ahead: {self._ahead_idx} of {count}' + + def _reset(self): + self._limits_ahead = None + self._cuvature_limits_ahead = None + self._curvatures_ahead = None + self._ahead_idx = None + self._distance_to_node_ahead = None + + @property + def located(self): + return self._ahead_idx is not None + + def _locate(self): + """Will resolve the index in the nodes_data list for the node ahead of the current location. + It updates as well the distance from the current location to the node ahead. + """ + current = self.current_wr + if current is None: + return + + node_ahead_id = current.node_ahead.id + self._distance_to_node_ahead = current.distance_to_node_ahead + start_idx = self._ahead_idx if self._ahead_idx is not None else 1 + self._ahead_idx = None + + ids = self._nodes_data.get(NodeDataIdx.node_id) + for idx in range(start_idx, len(ids)): + if ids[idx] == node_ahead_id: + self._ahead_idx = idx + break + + @property + def current_wr(self): + return self._ordered_way_relations[0] if len(self._ordered_way_relations) else None + + def update(self, location_rad, bearing_rad, location_stdev): + """Will update the route structure based on the given `location_rad` and `bearing_rad` assuming progress on the + route on the original direction. If direction has changed or active point on the route can not be found, the route + will become invalid. + """ + if len(self._ordered_way_relations) == 0 or location_rad is None or bearing_rad is None: + return + + # Skip if no update on location or bearing. + if np.array_equal(self.current_wr.location_rad, location_rad) and self.current_wr.bearing_rad == bearing_rad: + return + + # Transverse the way relations on the actual order until we find an active one. From there, rebuild the route + # with the way relations remaining ahead. + for idx, wr in enumerate(self._ordered_way_relations): + active_direction = wr.direction + wr.update(location_rad, bearing_rad, location_stdev) + + if not wr.active: + continue + + if wr.direction != active_direction: + # Driving direction on the route has changed. stop. + break + + # We have now the current wr. Repopulate from here till the end and locate + self._ordered_way_relations = self._ordered_way_relations[idx:] + self._reset() + self._locate() + + # If the active way is diverting, check whether there are possibilities to divert from the route in the + # vecinity of the current location. If there are possibilities, then stop here to loose the route as we are + # most likely driving away. If there are no possibilities, then stick to the route as the diversion is probably + # just a matter of GPS accuracy. (It can happen after driving under a bridge) + if wr.diverting and len(self._nodes_data.possible_divertions(self._ahead_idx, self._distance_to_node_ahead)) > 0: + break + + # The current location in route is valid, return. + return + + # if we got here, there is no new active way relation or driving direction has changed. Reset. + self._reset() + + @property + def speed_limits_ahead(self): + """Returns and array of SpeedLimitSection objects for the actual route ahead of current location + """ + if self._limits_ahead is not None: + return self._limits_ahead + + if self._nodes_data is None or self._ahead_idx is None: + return [] + + self._limits_ahead = self._nodes_data.speed_limits_ahead(self._ahead_idx, self._distance_to_node_ahead) + return self._limits_ahead + + @property + def curvature_speed_limits_ahead(self): + """Returns and array of TurnSpeedLimitSection objects for the actual route ahead of current location due + to curvatures + """ + if self._cuvature_limits_ahead is not None: + return self._cuvature_limits_ahead + + if self._nodes_data is None or self._ahead_idx is None: + return [] + + self._cuvature_limits_ahead = self._nodes_data. \ + curvatures_speed_limit_sections_ahead(self._ahead_idx, self._distance_to_node_ahead) + + return self._cuvature_limits_ahead + + @property + def current_speed_limit(self): + if not self.located: + return None + + limits_ahead = self.speed_limits_ahead + if len(limits_ahead) == 0 or limits_ahead[0].start != 0: + return None + + return limits_ahead[0].value + + @property + def current_curvature_speed_limit_section(self): + if not self.located: + return None + + limits_ahead = self.curvature_speed_limits_ahead + if len(limits_ahead) == 0 or limits_ahead[0].start != 0: + return None + + return limits_ahead[0] + + @property + def next_speed_limit_section(self): + if not self.located: + return None + + limits_ahead = self.speed_limits_ahead + if len(limits_ahead) == 0: + return None + + # Find the first section that does not start in 0. i.e. the next section + for section in limits_ahead: + if section.start > 0: + return section + + return None + + def next_curvature_speed_limit_sections(self, horizon_mts): + if not self.located: + return [] + + # Provide the curvature speed sections that start ahead (> 0) and up to horizon + return list(filter(lambda la: la.start > 0 and la.start <= horizon_mts, self.curvature_speed_limits_ahead)) + + @property + def distance_to_end(self): + if not self.located: + return None + + return self._nodes_data.distance_to_end(self._ahead_idx, self._distance_to_node_ahead) + + @property + def current_road_name(self): + return self.current_wr.road_name if self.located else None diff --git a/selfdrive/mapd/lib/WayCollection.py b/selfdrive/mapd/lib/WayCollection.py new file mode 100644 index 00000000000000..829e5b9ca9440c --- /dev/null +++ b/selfdrive/mapd/lib/WayCollection.py @@ -0,0 +1,85 @@ +from openpilot.selfdrive.mapd.lib.WayRelation import WayRelation +from openpilot.selfdrive.mapd.lib.WayRelationIndex import WayRelationIndex +from openpilot.selfdrive.mapd.lib.Route import Route +from openpilot.selfdrive.mapd.config import LANE_WIDTH +import uuid + + +_ACCEPTABLE_BEARING_DELTA_IND = 0.7071067811865475 # sin(pi/4) | 45 degrees acceptable bearing delta + + +class WayCollection(): + """A collection of WayRelations to use for maps data analysis. + """ + def __init__(self, ways, query_center): + """Creates a WayCollection with a set of OSM way objects. + + Args: + ways (Array): Collection of Way objects fetched from OSM in a radius around `query_center` + query_center (Numpy Array): [lat, lon] numpy array in radians indicating the center of the data query. + """ + self.id = uuid.uuid4() + self.way_relations = [WayRelation(way) for way in ways] + self.query_center = query_center + + self.wr_index = WayRelationIndex(self.way_relations) + + def get_route(self, location_rad, bearing_rad, location_stdev): + """Provides the best route found in the way collection based on current location and bearing. + """ + if location_rad is None or bearing_rad is None or location_stdev is None: + return None + + # Update all way relations in collection to the provided location and bearing. + for wr in self.way_relations: + wr.update(location_rad, bearing_rad, location_stdev) + + # Get the way relations where a match was found. i.e. those now marked as active as long as the direction of + # travel is valid. + valid_way_relations = [wr for wr in self.way_relations if wr.active and not wr.is_prohibited] + + # If no active, then we could not find a current way to build a route. + if len(valid_way_relations) == 0: + return None + + # If only one valid, then pick it as current. + if len(valid_way_relations) == 1: + current = valid_way_relations[0] + + # If more than one is valid, filter out any valid way relation where the bearing delta indicator is too high. + else: + wr_acceptable_bearing = list(filter(lambda wr: wr.active_bearing_delta <= _ACCEPTABLE_BEARING_DELTA_IND, + valid_way_relations)) + + # If delta bearing indicator is too high for all, then use as current the one that has the shorter one. + if len(wr_acceptable_bearing) == 0: + valid_way_relations.sort(key=lambda wr: wr.active_bearing_delta) + current = valid_way_relations[0] + + # If only one with acceptable bearing, use it. + elif len(wr_acceptable_bearing) == 1: + current = wr_acceptable_bearing[0] + + else: + # If more than one with acceptable bearing, filter the ones with distance to way lower than 2 standard + # deviation from GPS accuracy (95%) + half the road width estimate. + wr_accurate_distance = [wr for wr in wr_acceptable_bearing + if wr.distance_to_way <= 2. * location_stdev + wr.lanes * LANE_WIDTH / 2.] + + # If none with accurate distance to way, then select the closest to the way + if len(wr_accurate_distance) == 0: + wr_acceptable_bearing.sort(key=lambda wr: wr.distance_to_way) + current = wr_acceptable_bearing[0] + + # If only one with distance under accuracy, select this one. + elif len(wr_accurate_distance) == 1: + current = wr_accurate_distance[0] + + # If more than one with distance under accuracy. Then select the one with lowest highway rank. + # i.e. preferred motorways over other roads and so on. This is to prevent selecting a small parallel + # road to a main road when the accuracy is poor. + else: + wr_accurate_distance.sort(key=lambda wr: wr.highway_rank) + current = wr_accurate_distance[0] + + return Route(current, self.wr_index, self.id, self.query_center) diff --git a/selfdrive/mapd/lib/WayRelation.py b/selfdrive/mapd/lib/WayRelation.py new file mode 100644 index 00000000000000..7785faf5bb5b19 --- /dev/null +++ b/selfdrive/mapd/lib/WayRelation.py @@ -0,0 +1,421 @@ +from openpilot.selfdrive.mapd.lib.geo import DIRECTION, R, vectors, bearing_to_points, distance_to_points +from openpilot.selfdrive.mapd.lib.osm import create_way +from openpilot.common.conversions import Conversions as CV +from openpilot.selfdrive.mapd.config import LANE_WIDTH +from openpilot.common.basedir import BASEDIR +from datetime import datetime as dt +import numpy as np +import re +import json + + +_WAY_BBOX_PADING = 80. / R # 80 mts of padding to bounding box. (expressed in radians) + + +with open(BASEDIR + "/selfdrive/mapd/lib/default_speeds.json", "rb") as f: + _COUNTRY_LIMITS = json.loads(f.read()) + + +_WD = { + 'Mo': 0, + 'Tu': 1, + 'We': 2, + 'Th': 3, + 'Fr': 4, + 'Sa': 5, + 'Su': 6 +} + +_HIGHWAY_RANK = { + 'motorway': 0, + 'motorway_link': 1, + 'trunk': 10, + 'trunk_link': 11, + 'primary': 20, + 'primary_link': 21, + 'secondary': 30, + 'secondary_link': 31, + 'tertiary': 40, + 'tertiary_link': 41, + 'unclassified': 50, + 'residential': 60, + 'living_street': 61 +} + + +def is_osm_time_condition_active(condition_string): + """ + Will indicate if a time condition for a restriction as described + @ https://wiki.openstreetmap.org/wiki/Conditional_restrictions + is active for the current date and time of day. + """ + now = dt.now().astimezone() + today = now.date() + week_days = [] + + # Look for days of week matched and validate if today matches criteria. + dr = re.findall(r'(Mo|Tu|We|Th|Fr|Sa|Su[-,\s]*?)', condition_string) + + if len(dr) == 1: + week_days = [_WD[dr[0]]] + # If two or more matches condider it a range of days between 1st and 2nd element. + elif len(dr) > 1: + week_days = list(range(_WD[dr[0]], _WD[dr[1]] + 1)) + + # If valid week days list is not empty and today day is not in the list, then the time-date range is not active. + if len(week_days) > 0 and now.weekday() not in week_days: + return False + + # Look for time ranges on the day. No time range, means all day + tr = re.findall(r'([0-9]{1,2}:[0-9]{2})\s*?-\s*?([0-9]{1,2}:[0-9]{2})', condition_string) + + # if no time range but there were week days set, consider it active during the whole day + if len(tr) == 0: + return len(dr) > 0 + + # Search among time ranges matched, one where now time belongs too. If found range is active. + for times_tup in tr: + times = [dt.combine(today, dt.strptime(tt, '%H:%M').time().replace(tzinfo=now.tzinfo)) for tt in times_tup] + if now >= times[0] and now <= times[1]: + return True + + return False + + +def speed_limit_value_for_limit_string(limit_string): + # Look for matches of speed by default in kph, or in mph when explicitly noted. + v = re.match(r'^\s*([0-9]{1,3})\s*?(mph)?\s*$', limit_string) + if v is None: + return None + conv = CV.MPH_TO_MS if v[2] is not None and v[2] == "mph" else CV.KPH_TO_MS + return conv * float(v[1]) + + +def speed_limit_for_osm_tag_limit_string(limit_string): + # https://wiki.openstreetmap.org/wiki/Key:maxspeed + if limit_string is None: + # When limit is set to 0. is considered not existing. + return 0. + + # Attempt to parse limit as simple numeric value considering units. + limit = speed_limit_value_for_limit_string(limit_string) + if limit is not None: + return limit + + # Look for matches of speed with country implicit values. + v = re.match(r'^\s*([A-Z]{2}):([a-z_]+):?([0-9]{1,3})?(\s+)?(mph)?\s*', limit_string) + if v is None: + return 0. + + if v[2] == "zone" and v[3] is not None: + conv = CV.MPH_TO_MS if v[5] is not None and v[5] == "mph" else CV.KPH_TO_MS + limit = conv * float(v[3]) + elif f'{v[1]}:{v[2]}' in _COUNTRY_LIMITS: + limit = speed_limit_value_for_limit_string(_COUNTRY_LIMITS[f'{v[1]}:{v[2]}']) + + return limit if limit is not None else 0. + + +def conditional_speed_limit_for_osm_tag_limit_string(limit_string): + if limit_string is None: + # When limit is set to 0. is considered not existing. + return 0. + + # Look for matches of the ` @ ()` format + v = re.match(r'^(.*)@\s*\((.*)\).*$', limit_string) + if v is None: + return 0. # No valid format match + + value = speed_limit_for_osm_tag_limit_string(v[1]) + if value == 0.: + return 0. # Invalid speed limit value + + # Look for date-time conditions separated by semicolon + v = re.findall(r'(?:;|^)([^;]*)', v[2]) + for datetime_condition in v: + if is_osm_time_condition_active(datetime_condition): + return value + + # If we get here, no current date-time condition is active. + return 0. + + +class WayRelation(): + """A class that represent the relationship of an OSM way and a given `location` and `bearing` of a driving vehicle. + """ + def __init__(self, way, parent=None): + self.way = way + self.parent = parent + self.parent_wr_id = parent.id if parent is not None else None # For WRs created as splits of other WRs + self.reset_location_variables() + self.direction = DIRECTION.NONE + self._speed_limit = None + self._one_way = way.tags.get("oneway") + self.name = way.tags.get('name') + self.ref = way.tags.get('ref') + self.highway_type = way.tags.get("highway") + self.highway_rank = _HIGHWAY_RANK.get(self.highway_type, 1000) + try: + self.lanes = int(way.tags.get('lanes')) + except Exception: + self.lanes = 2 + + # Create numpy arrays with nodes data to support calculations. + self._nodes_np = np.radians(np.array([[node.lat, node.lon] for node in way.nodes], dtype=float)) + self._nodes_ids = np.array([node.id for node in way .nodes], dtype=int) + + # Get the vectors representation of the segments betwheen consecutive nodes. (N-1, 2) + v = vectors(self._nodes_np) * R + + # Calculate the vector magnitudes (or distance) between nodes. (N-1) + self._way_distances = np.linalg.norm(v, axis=1) + + # Calculate the bearing (from true north clockwise) for every section of the way (vectors between nodes). (N-1) + self._way_bearings = np.arctan2(v[:, 0], v[:, 1]) + + # Define bounding box to ease the process of locating a node in a way. + # [[min_lat, min_lon], [max_lat, max_lon]] + self.bbox = np.row_stack((np.amin(self._nodes_np, 0) - _WAY_BBOX_PADING, + np.amax(self._nodes_np, 0) + _WAY_BBOX_PADING)) + + # Get the edge nodes ids. + self.edge_nodes_ids = [way.nodes[0].id, way.nodes[-1].id] + + def __repr__(self): + return f'(id: {self.wr_id}, between {self.behind_idx} and {self.ahead_idx}, {self.direction}, active: {self.active})' + + def __eq__(self, other): + if isinstance(other, WayRelation): + return self.wr_id == other.wr_id + return False + + def reset_location_variables(self): + self.distance_to_node_ahead = 0. + self.location_rad = None + self.bearing_rad = None + self.active = False + self.diverting = False + self.ahead_idx = None + self.behind_idx = None + self._active_bearing_delta = None + self._distance_to_way = None + + @property + def wr_id(self): + return self.way.id + + @property + def road_name(self): + if self.name is not None: + return self.name + return self.ref + + def update(self, location_rad, bearing_rad, location_stdev): + """Will update and validate the associated way with a given `location_rad` and `bearing_rad`. + Specifically it will find the nodes behind and ahead of the current location and bearing. + If no proper fit to the way geometry, the way relation is marked as invalid. + """ + self.reset_location_variables() + + # Ignore if location not in way bounding box + if not self.is_location_in_bbox(location_rad): + return + + # - Get the distance and bearings from location to all nodes. (N) + bearings = bearing_to_points(location_rad, self._nodes_np) + distances = distance_to_points(location_rad, self._nodes_np) + + # - Get absolute bearing delta to current driving bearing. (N) + delta = np.abs(bearing_rad - bearings) + + # - Nodes are ahead if the cosine of the delta is positive (N) + is_ahead = np.cos(delta) >= 0. + + # - Possible locations on the way are those where adjacent nodes change from ahead to behind or vice-versa. + possible_idxs = np.nonzero(np.diff(is_ahead))[0] + + # - when no possible locations found, then the location is not in this way. + if len(possible_idxs) == 0: + return + + # - Find then angle formed between the vectors from the current location to consecutive nodes. This is the + # value of the difference in the bearings of the vectors. + teta = np.diff(bearings) + + # - When two consecutive nodes will be ahead and behind, they will form a triangle with the current location. + # We find the closest distance to the way by solving the area of the triangle and finding the height (h). + # We must use the absolute value of the sin of the angle in the formula, which is equivalent to ensure we + # are considering the smallest of the two angles formed between the two vectors. + # https://www.mathsisfun.com/algebra/trig-area-triangle-without-right-angle.html + h = distances[:-1] * distances[1:] * np.abs(np.sin(teta)) / self._way_distances + + # - Calculate the delta between driving bearing and way bearings. (N-1) + bw_delta = self._way_bearings - bearing_rad + + # - The absolute value of the sin of `bw_delta` indicates how close the bearings match independent of direction. + # We will use this value along the distance to the way to aid on way selection. (N-1) + abs_sin_bw_delta = np.abs(np.sin(bw_delta)) + + # - Get the delta to way bearing indicators and the distance to the way for the possible locations. + abs_sin_bw_delta_possible = abs_sin_bw_delta[possible_idxs] + h_possible = h[possible_idxs] + + # - Get the index where the distance to the way is minimum. That is the chosen location. + min_h_possible_idx = np.argmin(h_possible) + min_delta_idx = possible_idxs[min_h_possible_idx] + + # - If the distance to the way is over 4 standard deviations of the gps accuracy + half the maximum road width + # estimate, then we are way too far to stick to this way (i.e. we are not on this way anymore) + half_road_width_estimate = self.lanes * LANE_WIDTH / 2. + if h_possible[min_h_possible_idx] > 4. * location_stdev + half_road_width_estimate: + return + + # - If the distance to the road is greater than 2 standard deviations of the gps accuracy + half the maximum road + # width estimate then we are most likely diverting from this route. + diverting = h_possible[min_h_possible_idx] > 2. * location_stdev + half_road_width_estimate + + # Populate location variables with result + if is_ahead[min_delta_idx]: + self.direction = DIRECTION.BACKWARD + self.ahead_idx = min_delta_idx + self.behind_idx = min_delta_idx + 1 + else: + self.direction = DIRECTION.FORWARD + self.ahead_idx = min_delta_idx + 1 + self.behind_idx = min_delta_idx + + self._distance_to_way = h[min_delta_idx] + self._active_bearing_delta = abs_sin_bw_delta_possible[min_h_possible_idx] + # TODO: The distance to node ahead currently represent the distance from the GPS fix location. + # It would be perhaps more accurate to use the distance on the projection over the direct line between + # the two nodes. + self.distance_to_node_ahead = distances[self.ahead_idx] + self.active = True + self.diverting = diverting + self.location_rad = location_rad + self.bearing_rad = bearing_rad + self._speed_limit = None + + def update_direction_from_starting_node(self, start_node_id): + self._speed_limit = None + if self.edge_nodes_ids[0] == start_node_id: + self.direction = DIRECTION.FORWARD + elif self.edge_nodes_ids[-1] == start_node_id: + self.direction = DIRECTION.BACKWARD + else: + self.direction = DIRECTION.NONE + + def is_location_in_bbox(self, location_rad): + """Indicates if a given location is contained in the bounding box surrounding the way. + self.bbox = [[min_lat, min_lon], [max_lat, max_lon]] + """ + is_g = np.greater_equal(location_rad, self.bbox[0, :]) + is_l = np.less_equal(location_rad, self.bbox[1, :]) + + return np.all(np.concatenate((is_g, is_l))) + + @property + def speed_limit(self): + if self._speed_limit is not None: + return self._speed_limit + + # Get string from corresponding tag, consider conditional limits first. + limit_string = self.way.tags.get("maxspeed:conditional") + if limit_string is None: + if self.direction == DIRECTION.FORWARD: + limit_string = self.way.tags.get("maxspeed:forward:conditional") + elif self.direction == DIRECTION.BACKWARD: + limit_string = self.way.tags.get("maxspeed:backward:conditional") + + limit = conditional_speed_limit_for_osm_tag_limit_string(limit_string) + + # When no conditional limit set, attempt to get from regular speed limit tags. + if limit == 0.: + limit_string = self.way.tags.get("maxspeed") + if limit_string is None: + if self.direction == DIRECTION.FORWARD: + limit_string = self.way.tags.get("maxspeed:forward") + elif self.direction == DIRECTION.BACKWARD: + limit_string = self.way.tags.get("maxspeed:backward") + + limit = speed_limit_for_osm_tag_limit_string(limit_string) + + self._speed_limit = limit + return self._speed_limit + + @property + def active_bearing_delta(self): + """Returns the sine of the delta between the current location bearing and the exact + bearing of the portion of way we are currentluy located at. + """ + return self._active_bearing_delta + + @property + def is_one_way(self): + return self._one_way in ['yes'] or self.highway_type in ["motorway"] + + @property + def is_prohibited(self): + # Direction must be defined to asses this property. Default to `True` if not. + if self.direction == DIRECTION.NONE: + return True + return self.is_one_way and self.direction == DIRECTION.BACKWARD + + @property + def distance_to_way(self): + """Returns the perpendicular (i.e. minimum) distance between current location and the way + """ + return self._distance_to_way + + @property + def node_ahead(self): + return self.way.nodes[self.ahead_idx] if self.ahead_idx is not None else None + + @property + def last_node(self): + """Returns the last node on the way considering the traveling direction + """ + if self.direction == DIRECTION.FORWARD: + return self.way.nodes[-1] + if self.direction == DIRECTION.BACKWARD: + return self.way.nodes[0] + return None + + @property + def last_node_coordinates(self): + """Returns the coordinates for the last node on the way considering the traveling direction. (in radians) + """ + if self.direction == DIRECTION.FORWARD: + return self._nodes_np[-1] + if self.direction == DIRECTION.BACKWARD: + return self._nodes_np[0] + return None + + def node_before_edge_coordinates(self, node_id): + """Returns the coordinates of the node before the edge node identified with `node_id`. (in radians) + """ + if self.edge_nodes_ids[0] == node_id: + return self._nodes_np[1] + + if self.edge_nodes_ids[-1] == node_id: + return self._nodes_np[-2] + + return np.array([0., 0.]) + + def split(self, node_id, way_ids=None): + """ Returns and array with the way relations resulting from splitting the current way relation at node_id + """ + idxs = np.nonzero(self._nodes_ids == node_id)[0] + if len(idxs) == 0: + return [] + + idx = idxs[0] + if idx == 0 or idx == len(self._nodes_ids) - 1: + return [self] + + if not isinstance(way_ids, list): + way_ids = [-1, -2] # Default id values. + + ways = [create_way(way_ids[0], node_ids=self._nodes_ids[:idx + 1], from_way=self.way), + create_way(way_ids[1], node_ids=self._nodes_ids[idx:], from_way=self.way)] + return [WayRelation(way, parent=self) for way in ways] diff --git a/selfdrive/mapd/lib/WayRelationIndex.py b/selfdrive/mapd/lib/WayRelationIndex.py new file mode 100644 index 00000000000000..e941dcd5b7c1fe --- /dev/null +++ b/selfdrive/mapd/lib/WayRelationIndex.py @@ -0,0 +1,34 @@ + + +class WayRelationIndex(): + """ + A class containing an index of WayRelations by node ids of internal nodes and edge nodes. + """ + def __init__(self, way_relations): + self._edge_nodes_index_dict = {} + self._full_nodes_index_dict = {} + + for wr in way_relations: + self.add(wr) + + def add(self, way_relation): + for node in way_relation.way.nodes: + node_id = node.id + self._full_nodes_index_dict[node_id] = self._full_nodes_index_dict.get(node_id, []) + [way_relation] + if node_id in way_relation.edge_nodes_ids: + self._edge_nodes_index_dict[node_id] = self._edge_nodes_index_dict.get(node_id, []) + [way_relation] + + def remove(self, way_relation): + for node in way_relation.way.nodes: + node_id = node.id + self._full_nodes_index_dict[node_id] = [wr for wr in self._full_nodes_index_dict.get(node_id, []) + if wr is not way_relation] + if node_id in way_relation.edge_nodes_ids: + self._edge_nodes_index_dict[node_id] = [wr for wr in self._edge_nodes_index_dict.get(node_id, []) + if wr is not way_relation] + + def way_relations_with_edge_node_id(self, node_id): + return self._edge_nodes_index_dict.get(node_id, []) + + def way_relations_with_node_id(self, node_id): + return self._full_nodes_index_dict.get(node_id, []) diff --git a/selfdrive/mapd/lib/default_speeds.json b/selfdrive/mapd/lib/default_speeds.json new file mode 100644 index 00000000000000..a8db6088077d9c --- /dev/null +++ b/selfdrive/mapd/lib/default_speeds.json @@ -0,0 +1,111 @@ +{ + "_comment": "These speeds are from https://wiki.openstreetmap.org/wiki/Speed_limits Special cases have been stripped", + "AR:urban": "40", + "AR:urban:primary": "60", + "AR:urban:secondary": "60", + "AR:rural": "110", + "AT:urban": "50", + "AT:rural": "100", + "AT:trunk": "100", + "AT:motorway": "130", + "BE:urban": "50", + "BE-VLG:rural": "70", + "BE-WAL:rural": "90", + "BE:trunk": "120", + "BE:motorway": "120", + "CH:urban[1]": "50", + "CH:rural": "80", + "CH:trunk": "100", + "CH:motorway": "120", + "CZ:pedestrian_zone": "20", + "CZ:living_street": "20", + "CZ:urban": "50", + "CZ:urban_trunk": "80", + "CZ:urban_motorway": "80", + "CZ:rural": "90", + "CZ:trunk": "110", + "CZ:motorway": "130", + "DK:urban": "50", + "DK:rural": "80", + "DK:motorway": "130", + "DE:living_street": "7", + "DE:residential": "30", + "DE:urban": "50", + "DE:rural": "100", + "DE:trunk": "none", + "DE:motorway": "none", + "FI:urban": "50", + "FI:rural": "80", + "FI:trunk": "100", + "FI:motorway": "120", + "FR:urban": "50", + "FR:rural": "80", + "FR:trunk": "110", + "FR:motorway": "130", + "GR:urban": "50", + "GR:rural": "90", + "GR:trunk": "110", + "GR:motorway": "130", + "HU:urban": "50", + "HU:rural": "90", + "HU:trunk": "110", + "HU:motorway": "130", + "IT:urban": "50", + "IT:rural": "90", + "IT:trunk": "110", + "IT:motorway": "130", + "JP:national": "60", + "JP:motorway": "100", + "LT:living_street": "20", + "LT:urban": "50", + "LT:rural": "90", + "LT:trunk": "120", + "LT:motorway": "130", + "PL:living_street": "20", + "PL:urban": "50", + "PL:rural": "90", + "PL:trunk": "100", + "PL:motorway": "140", + "RO:urban": "50", + "RO:rural": "90", + "RO:trunk": "100", + "RO:motorway": "130", + "RU:living_street": "20", + "RU:urban": "60", + "RU:rural": "90", + "RU:motorway": "110", + "SK:urban": "50", + "SK:rural": "90", + "SK:trunk": "90", + "SK:motorway": "90", + "SI:urban": "50", + "SI:rural": "90", + "SI:trunk": "110", + "SI:motorway": "130", + "ES:living_street": "20", + "ES:urban": "50", + "ES:rural": "50", + "ES:trunk": "90", + "ES:motorway": "120", + "SE:urban": "50", + "SE:rural": "70", + "SE:trunk": "90", + "SE:motorway": "110", + "GB:nsl_restricted": "30 mph", + "GB:nsl_single": "60 mph", + "GB:nsl_dual": "70 mph", + "GB:motorway": "70 mph", + "UA:urban": "50", + "UA:rural": "90", + "UA:trunk": "110", + "UA:motorway": "130", + "UZ:living_street": "30", + "UZ:urban": "70", + "UZ:rural": "100", + "UZ:motorway": "110", + "ZA:trunk": "120", + "ZA:residential": "60", + "ZA:rural": "100", + "ZA:urban": "60", + "ZA:motorway": "120" +} diff --git a/selfdrive/mapd/lib/geo.py b/selfdrive/mapd/lib/geo.py new file mode 100644 index 00000000000000..8f6232225f9de7 --- /dev/null +++ b/selfdrive/mapd/lib/geo.py @@ -0,0 +1,66 @@ +from enum import Enum +import numpy as np + + +R = 6373000.0 # approximate radius of earth in mts + + +def vectors(points): + """Provides a array of vectors on cartesian space (x, y). + Each vector represents the path from a point in `points` to the next. + `points` must by a (N, 2) array of [lat, lon] pairs in radians. + """ + latA = points[:-1, 0] + latB = points[1:, 0] + delta = np.diff(points, axis=0) + dlon = delta[:, 1] + + x = np.sin(dlon) * np.cos(latB) + y = np.cos(latA) * np.sin(latB) - (np.sin(latA) * np.cos(latB) * np.cos(dlon)) + + return np.column_stack((x, y)) + + +def ref_vectors(ref, points): + """Provides a array of vectors on cartesian space (x, y). + Each vector represents the path from ref to a point in `points`. + `points` must by a (N, 2) array of [lat, lon] pairs in radians. + """ + latA = ref[0] + latB = points[:, 0] + delta = points - ref + dlon = delta[:, 1] + + x = np.sin(dlon) * np.cos(latB) + y = np.cos(latA) * np.sin(latB) - (np.sin(latA) * np.cos(latB) * np.cos(dlon)) + + return np.column_stack((x, y)) + + +def bearing_to_points(point, points): + """Calculate the bearings (angle from true north clockwise) of the vectors between `point` and each + one of the entries in `points`. Both `point` and `points` elements are 2 element arrays containing a latitud, + longitude pair in radians. + """ + delta = points - point + x = np.sin(delta[:, 1]) * np.cos(points[:, 0]) + y = np.cos(point[0]) * np.sin(points[:, 0]) - (np.sin(point[0]) * np.cos(points[:, 0]) * np.cos(delta[:, 1])) + return np.arctan2(x, y) + + +def distance_to_points(point, points): + """Calculate the distance of the vectors between `point` and each one of the entries in `points`. + Both `point` and `points` elements are 2 element arrays containing a latitud, longitude pair in radians. + """ + delta = points - point + a = np.sin(delta[:, 0] / 2)**2 + np.cos(point[0]) * np.cos(points[:, 0]) * np.sin(delta[:, 1] / 2)**2 + c = 2 * np.arctan2(np.sqrt(a), np.sqrt(1 - a)) + return c * R + + +class DIRECTION(Enum): + NONE = 0 + AHEAD = 1 + BEHIND = 2 + FORWARD = 3 + BACKWARD = 4 diff --git a/selfdrive/mapd/lib/osm.py b/selfdrive/mapd/lib/osm.py new file mode 100644 index 00000000000000..e7bd9cf94174a6 --- /dev/null +++ b/selfdrive/mapd/lib/osm.py @@ -0,0 +1,37 @@ +import overpy +import numpy as np +from openpilot.selfdrive.mapd.lib.geo import R + + +def create_way(way_id, node_ids, from_way): + """ + Creates and OSM Way with the given `way_id` and list of `node_ids`, copying attributes and tags from `from_way` + """ + return overpy.Way(way_id, node_ids=node_ids, attributes={}, result=from_way._result, + tags=from_way.tags) + + +class OSM(): + def __init__(self): + self.api = overpy.Overpass() + # self.api = overpy.Overpass(url='http://3.65.170.21/api/interpreter') + + def fetch_road_ways_around_location(self, lat, lon, radius): + # Calculate the bounding box coordinates for the bbox containing the circle around location. + bbox_angle = np.degrees(radius / R) + # fetch all ways and nodes on this ways in bbox + bbox_str = f'{str(lat - bbox_angle)},{str(lon - bbox_angle)},{str(lat + bbox_angle)},{str(lon + bbox_angle)}' + q = """ + way(""" + bbox_str + """) + [highway] + [highway!~"^(footway|path|corridor|bridleway|steps|cycleway|construction|bus_guideway|escape|service|track)$"]; + (._;>;); + out; + """ + try: + ways = self.api.query(q).ways + except Exception as e: + print(f'Exception while querying OSM:\n{e}') + ways = [] + + return ways diff --git a/selfdrive/mapd/mapd.py b/selfdrive/mapd/mapd.py new file mode 100644 index 00000000000000..c3b44100a9377a --- /dev/null +++ b/selfdrive/mapd/mapd.py @@ -0,0 +1,266 @@ +#!/usr/bin/env python3 +import threading +from traceback import print_exception +import numpy as np +from time import strftime, gmtime +import cereal.messaging as messaging +from openpilot.common.realtime import Ratekeeper +from openpilot.selfdrive.mapd.lib.osm import OSM +from openpilot.selfdrive.mapd.lib.geo import distance_to_points +from openpilot.selfdrive.mapd.lib.WayCollection import WayCollection +from openpilot.selfdrive.mapd.config import QUERY_RADIUS, MIN_DISTANCE_FOR_NEW_QUERY, FULL_STOP_MAX_SPEED, LOOK_AHEAD_HORIZON_TIME +from openpilot.system.swaglog import cloudlog + + +_DEBUG = False +_CLOUDLOG_DEBUG = True + + +def _debug(msg, log_to_cloud=True): + if _CLOUDLOG_DEBUG and log_to_cloud: + cloudlog.debug(msg) + if _DEBUG: + print(msg) + + +def excepthook(args): + _debug(f'MapD: Threading exception:\n{args}') + print_exception(args.exc_type, args.exc_value, args.exc_traceback) + + +threading.excepthook = excepthook + + +class MapD(): + def __init__(self): + self.osm = OSM() + self.way_collection = None + self.route = None + self.last_gps_fix_timestamp = 0 + self.last_gps = None + self.location_deg = None # The current location in degrees. + self.location_rad = None # The current location in radians as a Numpy array. + self.bearing_rad = None + self.location_stdev = None # The current location accuracy in mts. 1 standard devitation. + self.gps_speed = 0. + self.last_fetch_location = None + self.last_route_update_fix_timestamp = 0 + self.last_publish_fix_timestamp = 0 + self._op_enabled = False + self._disengaging = False + self._query_thread = None + self._lock = threading.RLock() + + def udpate_state(self, sm): + sock = 'controlsState' + if not sm.updated[sock] or not sm.valid[sock]: + return + + controls_state = sm[sock] + self._disengaging = not controls_state.enabled and self._op_enabled + self._op_enabled = controls_state.enabled + + def update_gps(self, sm): + sock = 'gpsLocationExternal' + if not sm.updated[sock] or not sm.valid[sock]: + return + + log = sm[sock] + self.last_gps = log + + # ignore the message if the fix is invalid + if log.flags % 2 == 0: + return + + self.last_gps_fix_timestamp = log.unixTimestampMillis # Unix TS. Milliseconds since January 1, 1970. + self.location_rad = np.radians(np.array([log.latitude, log.longitude], dtype=float)) + self.location_deg = (log.latitude, log.longitude) + self.bearing_rad = np.radians(log.bearingDeg, dtype=float) + self.gps_speed = log.speed + self.location_stdev = log.accuracy # log accuracies are presumably 1 standard deviation. + + _debug('Mapd: ********* Got GPS fix' + + f'Pos: {self.location_deg} +/- {self.location_stdev * 2.} mts.\n' + + f'Bearing: {log.bearingDeg} +/- {log.bearingAccuracyDeg * 2.} deg.\n' + + f'timestamp: {strftime("%d-%m-%y %H:%M:%S", gmtime(self.last_gps_fix_timestamp * 1e-3))}' + + '*******', log_to_cloud=False) + + def _query_osm_not_blocking(self): + def query(osm, location_deg, location_rad, radius): + _debug(f'Mapd: Start query for OSM map data at {location_deg}') + lat, lon = location_deg + ways = osm.fetch_road_ways_around_location(lat, lon, radius) + _debug(f'Mapd: Query to OSM finished with {len(ways)} ways') + + # Only issue an update if we received some ways. Otherwise it is most likely a connectivity issue. + # Will retry on next loop. + if len(ways) > 0: + new_way_collection = WayCollection(ways, location_rad) + + # Use the lock to update the way_collection as it might be being used to update the route. + _debug('Mapd: Locking to write results from osm.', log_to_cloud=False) + with self._lock: + self.way_collection = new_way_collection + self.last_fetch_location = location_rad + _debug(f'Mapd: Updated map data @ {location_deg} - got {len(ways)} ways') + + _debug('Mapd: Releasing Lock to write results from osm', log_to_cloud=False) + + # Ignore if we have a query thread already running. + if self._query_thread is not None and self._query_thread.is_alive(): + return + + self._query_thread = threading.Thread(target=query, args=(self.osm, self.location_deg, self.location_rad, + QUERY_RADIUS)) + self._query_thread.start() + + def updated_osm_data(self): + if self.route is not None: + distance_to_end = self.route.distance_to_end + if distance_to_end is not None and distance_to_end >= MIN_DISTANCE_FOR_NEW_QUERY: + # do not query as long as we have a route with enough distance ahead. + return + + if self.location_rad is None: + return + + if self.last_fetch_location is not None: + distance_since_last = distance_to_points(self.last_fetch_location, np.array([self.location_rad]))[0] + if distance_since_last < QUERY_RADIUS - MIN_DISTANCE_FOR_NEW_QUERY: + # do not query if are still not close to the border of previous query area + return + + self._query_osm_not_blocking() + + def update_route(self): + def update_proc(): + # Ensure we clear the route on op disengage, this way we can correct possible incorrect map data due + # to wrongly locating or picking up the wrong route. + if self._disengaging: + self.route = None + _debug('Mapd *****: Clearing Route as system is disengaging. ********') + + if self.way_collection is None or self.location_rad is None or self.bearing_rad is None: + _debug('Mapd *****: Can not update route. Missing WayCollection, location or bearing ********') + return + + if self.route is not None and self.last_route_update_fix_timestamp == self.last_gps_fix_timestamp: + _debug('Mapd *****: Skipping route update. No new fix since last update ********') + return + + self.last_route_update_fix_timestamp = self.last_gps_fix_timestamp + + # Create the route if not existent or if it was generated by an older way collection + if self.route is None or self.route.way_collection_id != self.way_collection.id: + self.route = self.way_collection.get_route(self.location_rad, self.bearing_rad, self.location_stdev) + _debug(f'Mapd *****: Route created: \n{self.route}\n********') + return + + # Do not attempt to update the route if the car is going close to a full stop, as the bearing can start + # jumping and creating unnecessary losing of the route. Since the route update timestamp has been updated + # a new liveMapData message will be published with the current values (which is desirable) + if self.gps_speed < FULL_STOP_MAX_SPEED: + _debug('Mapd *****: Route Not updated as car has Stopped ********') + return + + self.route.update(self.location_rad, self.bearing_rad, self.location_stdev) + if self.route.located: + _debug(f'Mapd *****: Route updated: \n{self.route}\n********') + return + + # if an old route did not manage to locate, attempt to regenerate form way collection. + self.route = self.way_collection.get_route(self.location_rad, self.bearing_rad, self.location_stdev) + _debug(f'Mapd *****: Failed to update location in route. Regenerated with route: \n{self.route}\n********') + + # We use the lock when updating the route, as it reads `way_collection` which can ben updated by + # a new query result from the _query_thread. + _debug('Mapd: Locking to update route.', log_to_cloud=False) + with self._lock: + update_proc() + + _debug('Mapd: Releasing Lock to update route', log_to_cloud=False) + + def publish(self, pm, sm): + # Ensure we have a route currently located + if self.route is None or not self.route.located: + _debug('Mapd: Skipping liveMapData message as there is no route or is not located.') + return + + # Ensure we have a route update since last publish + if self.last_publish_fix_timestamp == self.last_route_update_fix_timestamp: + _debug('Mapd: Skipping liveMapData since there is no new gps fix.') + return + + self.last_publish_fix_timestamp = self.last_route_update_fix_timestamp + + speed_limit = self.route.current_speed_limit + next_speed_limit_section = self.route.next_speed_limit_section + turn_speed_limit_section = self.route.current_curvature_speed_limit_section + horizon_mts = self.gps_speed * LOOK_AHEAD_HORIZON_TIME + next_turn_speed_limit_sections = self.route.next_curvature_speed_limit_sections(horizon_mts) + current_road_name = self.route.current_road_name + + map_data_msg = messaging.new_message('liveMapData') + map_data_msg.valid = sm.all_alive(service_list=['gpsLocationExternal']) and \ + sm.all_valid(service_list=['gpsLocationExternal']) + + map_data_msg.liveMapData.lastGpsTimestamp = self.last_gps.unixTimestampMillis + map_data_msg.liveMapData.lastGpsLatitude = float(self.last_gps.latitude) + map_data_msg.liveMapData.lastGpsLongitude = float(self.last_gps.longitude) + map_data_msg.liveMapData.lastGpsSpeed = float(self.last_gps.speed) + map_data_msg.liveMapData.lastGpsBearingDeg = float(self.last_gps.bearingDeg) + map_data_msg.liveMapData.lastGpsAccuracy = float(self.last_gps.accuracy) + map_data_msg.liveMapData.lastGpsBearingAccuracyDeg = float(self.last_gps.bearingAccuracyDeg) + + map_data_msg.liveMapData.speedLimitValid = bool(speed_limit is not None) + map_data_msg.liveMapData.speedLimit = float(speed_limit if speed_limit is not None else 0.0) + map_data_msg.liveMapData.speedLimitAheadValid = bool(next_speed_limit_section is not None) + map_data_msg.liveMapData.speedLimitAhead = float(next_speed_limit_section.value + if next_speed_limit_section is not None else 0.0) + map_data_msg.liveMapData.speedLimitAheadDistance = float(next_speed_limit_section.start + if next_speed_limit_section is not None else 0.0) + + map_data_msg.liveMapData.turnSpeedLimitValid = bool(turn_speed_limit_section is not None) + map_data_msg.liveMapData.turnSpeedLimit = float(turn_speed_limit_section.value + if turn_speed_limit_section is not None else 0.0) + map_data_msg.liveMapData.turnSpeedLimitSign = int(turn_speed_limit_section.curv_sign + if turn_speed_limit_section is not None else 0) + map_data_msg.liveMapData.turnSpeedLimitEndDistance = float(turn_speed_limit_section.end + if turn_speed_limit_section is not None else 0.0) + map_data_msg.liveMapData.turnSpeedLimitsAhead = [float(s.value) for s in next_turn_speed_limit_sections] + map_data_msg.liveMapData.turnSpeedLimitsAheadDistances = [float(s.start) for s in next_turn_speed_limit_sections] + map_data_msg.liveMapData.turnSpeedLimitsAheadSigns = [float(s.curv_sign) for s in next_turn_speed_limit_sections] + + map_data_msg.liveMapData.currentRoadName = str(current_road_name if current_road_name is not None else "") + + pm.send('liveMapData', map_data_msg) + _debug(f'Mapd *****: Publish: \n{map_data_msg}\n********', log_to_cloud=False) + + +# provides live map data information +def mapd_thread(sm=None, pm=None): + mapd = MapD() + rk = Ratekeeper(1., print_delay_threshold=None) # Keeps rate at 1 hz + + # *** setup messaging + if sm is None: + sm = messaging.SubMaster(['gpsLocationExternal', 'controlsState']) + if pm is None: + pm = messaging.PubMaster(['liveMapData']) + + while True: + sm.update() + mapd.udpate_state(sm) + mapd.update_gps(sm) + mapd.updated_osm_data() + mapd.update_route() + mapd.publish(pm, sm) + rk.keep_time() + + +def main(sm=None, pm=None): + mapd_thread(sm, pm) + + +if __name__ == "__main__": + main() diff --git a/selfdrive/mapd/test/__init__.py b/selfdrive/mapd/test/__init__.py new file mode 100644 index 00000000000000..e69de29bb2d1d6 diff --git a/selfdrive/mapd/test/mock_data.py b/selfdrive/mapd/test/mock_data.py new file mode 100644 index 00000000000000..9f0331d83941d7 --- /dev/null +++ b/selfdrive/mapd/test/mock_data.py @@ -0,0 +1,266 @@ +from openpilot.selfdrive.mapd.lib.WayCollection import WayCollection +from openpilot.selfdrive.mapd.lib.geo import vectors, R +from openpilot.selfdrive.mapd.lib.NodesData import _MIN_NODE_DISTANCE, _ADDED_NODES_DIST, _SPLINE_EVAL_STEP, \ + _MIN_SPEED_SECTION_LENGTH, nodes_raw_data_array_for_wr, node_calculations, is_wr_a_valid_divertion_from_node, \ + spline_curvature_calculations, speed_limits_for_curvatures_data +from scipy.interpolate import splev, splprep +import numpy as np +import overpy + + +class MockNodesData(): + def __init__(self, way_coords): + self.degrees = np.array(way_coords) + self.radians = np.radians(self.degrees) + + # ***************** + # Expected code implementation nodes_data + self.v = vectors(self.radians) * R + self.d = np.linalg.norm(self.v, axis=1) + self.b = np.arctan2(self.v[:, 0], self.v[:, 1]) + self.v = np.concatenate(([[0., 0.]], self.v)) + self.dp = np.concatenate(([0.], self.d)) + self.dn = np.concatenate((self.d, [0.])) + self.dr = np.cumsum(self.dp, axis=0) + self.b = np.concatenate((self.b, [self.b[-1]])) + + # Expected code implementation spline_curvature_calculations + vect = self.v + dist_prev = self.dp + too_far_idxs = np.nonzero(self.dp >= _MIN_NODE_DISTANCE)[0] + for idx in too_far_idxs[::-1]: + dp = dist_prev[idx] # distance of vector that needs to be replaced by higher resolution vectors. + n = int(np.ceil(dp / _ADDED_NODES_DIST)) # number of vectors that need to be added. + new_v = vect[idx, :] / n # new relative vector to insert. + vect = np.delete(vect, idx, axis=0) # remove the relative vector to be replaced by the insertion of new vectors. + vect = np.insert(vect, [idx] * n, [new_v] * n, axis=0) # insert n new relative vectors + ds = np.cumsum(dist_prev, axis=0) + vs = np.cumsum(vect, axis=0) + tck, u = splprep([vs[:, 0], vs[:, 1]]) # pylint: disable=W0632 + n = max(int(ds[-1] / _SPLINE_EVAL_STEP), len(u)) + unew = np.arange(0, n + 1) / n + d1 = splev(unew, tck, der=1) + d2 = splev(unew, tck, der=2) + num = d1[0] * d2[1] - d1[1] * d2[0] + den = (d1[0]**2 + d1[1]**2)**(1.5) + self.curv = num / den + self.curv_ds = unew * ds[-1] + # ***************** + + +class MockCurveSection(): + def __init__(self, func, di=0., df=1000., step=10.): + self.di = di + self.df = df + self.n = (df - di) // step + self.u = np.arange(0, self.n + 1) / self.n + self.curv_ds = self.u * (df - di) + di + self.curv = func(self.u) + self.curv_abs = np.abs(self.curv) + self.curv_sec = np.column_stack((self.curv_abs, np.sign(self.curv), self.curv_ds)) + + +class MockOSMQueryResponse(): + def __init__(self, xml_path, query_center): + self.api = overpy.Overpass() + self.query_center = np.radians(np.array(query_center)) + + with open(xml_path, 'r') as f: + overpass_xml = f.read() + self.ways = self.api.parse_xml(overpass_xml).ways + + self.wayCollection = WayCollection(self.ways, self.query_center) + +class MockRouteData(): + def __init__(self, way_ids, way_collection, first_node_id): # way)ids must be in order forming a route. + self.wrs = [next(wr for wr in way_collection.way_relations if wr.id == way_id) for way_id in way_ids] + self.way_collection = way_collection + self.first_node_id = first_node_id + + def reset(self): + way_relations = self.wrs + wr_index = self.way_collection.wr_index + + # Nodes Data processing expects way relations to be updated with direction before running. + for idx, wr in enumerate(way_relations): + if idx == 0: + wr.update_direction_from_starting_node(self.first_node_id) + else: + wr.update_direction_from_starting_node(way_relations[idx - 1].last_node.id) + + # ***** Expected calculations + self._nodes_data = np.array([]) + self._divertions = [[]] + self._curvature_speed_sections_data = np.array([]) + way_count = len(way_relations) + if way_count == 0: + return + # We want all the nodes from the last way section + nodes_data = nodes_raw_data_array_for_wr(way_relations[-1]) + # For the ways before the last in the route we want all the nodes but the last, as that one is the first on + # the next section. Collect them, append last way node data and concatenate the numpy arrays. + if way_count > 1: + wrs_data = tuple([nodes_raw_data_array_for_wr(wr, drop_last=True) for wr in way_relations[:-1]]) + wrs_data += (nodes_data,) + nodes_data = np.concatenate(wrs_data) + # Get a subarray with lat, lon to compute the remaining node values. + lat_lon_array = nodes_data[:, [1, 2]] + points = np.radians(lat_lon_array) + # Ensure we have more than 3 points, if not calculations are not possible. + if len(points) <= 3: + return + vect, dist_prev, dist_next, dist_route, bearing = node_calculations(points) + # append calculations to nodes_data + # nodes_data structure: [id, lat, lon, speed_limit, x, y, dist_prev, dist_next, dist_route, bearing] + self._nodes_data = np.column_stack((nodes_data, vect, dist_prev, dist_next, dist_route, bearing)) + # Build route diversion options data from the wr_index. + wr_ids = [wr.id for wr in way_relations] + self._divertions = [[wr for wr in wr_index.way_relations_with_edge_node_id(node_id) + if is_wr_a_valid_divertion_from_node(wr, node_id, wr_ids)] + for node_id in nodes_data[:, 0]] + # Store calculations for curvature sections speed limits. We need more than 3 points to be able to process. + # _curvature_speed_sections_data structure: [dist_start, dist_stop, speed_limits, curv_sign] + if len(vect) > 3: + self._curv, self._curv_ds = spline_curvature_calculations(vect, dist_prev) + self._curvature_speed_sections_data = speed_limits_for_curvatures_data(self._curv, self._curv_ds) + # ***** + + +# Test data in degrees from this road: +# https://www.google.de/maps/@52.209263,13.8723137,13z +_WAY_NODES_COORDS_01 = [ + [52.1933703, 13.8723799], + [52.1939477, 13.8711273], + [52.1942004, 13.8705818], + [52.1945408, 13.8698496], + [52.1948447, 13.8691873], + [52.1950772, 13.8685726], + [52.1951168, 13.8684641], + [52.1956681, 13.8670323], + [52.1958716, 13.8664936], + [52.1964366, 13.8649875], + [52.1969283, 13.8636040], + [52.1970203, 13.8634430], + [52.1975486, 13.8626307], + [52.1976354, 13.8624971], + [52.1977827, 13.8621795], + [52.1978564, 13.8619220], + [52.1981843, 13.8604497], + [52.1982614, 13.8602140], + [52.1983351, 13.8600595], + [52.1992768, 13.8579824], + [52.1995107, 13.8574321], + [52.1995948, 13.8572604], + [52.1996818, 13.8571155], + [52.1998000, 13.8570029], + [52.2000659, 13.8568236], + [52.2003868, 13.8566005], + [52.2007182, 13.8564460], + [52.2008760, 13.8564117], + [52.2009865, 13.8564117], + [52.2011390, 13.8564202], + [52.2012267, 13.8564496], + [52.2012544, 13.8564577], + [52.2013179, 13.8564803], + [52.2020491, 13.8571756], + [52.2026014, 13.8576991], + [52.2027592, 13.8578879], + [52.2027960, 13.8579309], + [52.2028960, 13.8580939], + [52.2030170, 13.8583343], + [52.2036587, 13.8597076], + [52.2052946, 13.8633039], + [52.2064332, 13.8658435], + [52.2067856, 13.8666332], + [52.2068961, 13.8668477], + [52.2070777, 13.8670890], + [52.2073723, 13.8674409], + [52.2077457, 13.8679387], + [52.2083874, 13.8687455], + [52.2093341, 13.8699214], + [52.2099652, 13.8707540], + [52.2102282, 13.8712089], + [52.2104228, 13.8715694], + [52.2106122, 13.8718955], + [52.2107619, 13.8721756], + [52.2108695, 13.8723771], + [52.2110747, 13.8727610], + [52.2111514, 13.8729047], + [52.2114010, 13.8733718], + [52.2114694, 13.8735006], + [52.2115430, 13.8736636], + [52.2116086, 13.8737571], + [52.2116770, 13.8738172], + [52.2117611, 13.8738515], + [52.2118664, 13.8738566], + [52.2119322, 13.8738439], + [52.2121058, 13.8737924], + [52.2122583, 13.8737495], + [52.2123265, 13.8737260], + [52.2124213, 13.8736894], + [52.2127466, 13.8734888], + [52.2128263, 13.8734491], + [52.2131313, 13.8733117], + [52.2133943, 13.8731830], + [52.2136625, 13.8731057], + [52.2139465, 13.8730456], + [52.2143619, 13.8730113], + [52.2148773, 13.8729942], + [52.2152275, 13.8730325], + [52.2153110, 13.8730398], + [52.2157442, 13.8730848], + [52.2158833, 13.8731036]] + + +mockNodesData01 = MockNodesData(_WAY_NODES_COORDS_01) + +# OSM Query around B96 south of Berlin +mockOSMResponse01 = MockOSMQueryResponse('selfdrive/mapd/test/mock_osm_response_01.xml', + [52.31400353586984, 13.447158941786366]) + +# OSM Query on curvy town area south of Germany. +mockOSMResponse02 = MockOSMQueryResponse('selfdrive/mapd/test/mock_osm_response_02.xml', + [48.16573269276522, 9.81418473659117]) + +mockWayCollection01 = WayCollection(mockOSMResponse01.ways, mockOSMResponse01.query_center) +mockWayCollection02 = WayCollection(mockOSMResponse02.ways, mockOSMResponse02.query_center) + +# Normal curvy Way. way id: 179532213 with 35 Nodes. +mockOSMWay_01_01_LongCurvy = next(way for way in mockOSMResponse01.ways if way.id == 179532213) + +# Looped way. way id: 29233907 +mockOSMWay_01_02_Loop = next(way for way in mockOSMResponse01.ways if way.id == 29233907) + +# Complex curvy road through town with intersections. way id:178450395 +mockOSMWay_02_01_CurvyTownWithIntersections = next(way for way in mockOSMResponse02.ways if way.id == 178450395) + +# Valid diversion for way 02_01 at node: 34785115. way id: 27955186 +mockOSMWay_02_02_Divertion_34785115 = next(way for way in mockOSMResponse02.ways if way.id == 27955186) + +# 3 node way. way id: 807781992 +mockOSMWay_02_03_Short_3_node_way = next(way for way in mockOSMResponse02.ways if way.id == 807781992) + +# data composing route 01 in way collection 02 +mockRouteData_02_01 = MockRouteData([60890967, 737120246, 601406617, 60890971, 178450395], mockWayCollection02, + first_node_id=201962346) + +# data composing route 02 in way collection 02. Single WR +mockRouteData_02_02_single_wr = MockRouteData([178450395], mockWayCollection02, first_node_id=762086638) + +# data composing route 03 in way collection 02. Multiple speed limits +mockRouteData_02_03 = MockRouteData([158799549, 798805532, 28707704, 158797898, 602249535, 602249536, 825823509, + 178449088, 916462523, 158796386], mockWayCollection02, + first_node_id=252601829) + +# 1000mt section with one full sin cycle as curv values. +mockCurveSectionSin = MockCurveSection(lambda x: np.sin(x * 2 * np.pi)) + +# 200mt section with changing curvature rate. +mockCurveSteepCurvChange = MockCurveSection(lambda x: 0.05 * x**3 - 0.007 * x**2 + 0.001 * x, df=200) + +# _MIN_SPEED_SECTION_LENGTH section with changing curvature rate. +mockCurveSteepCurvChangeShort = MockCurveSection( + lambda x: 0.05 * x**3 - 0.007 * x**2 + 0.001 * x, df=_MIN_SPEED_SECTION_LENGTH) + +# 200mt section with smooth changing curvature rate. no deviation over 2. +mockCurveSmoothCurveChange = MockCurveSection(lambda x: 0.0002 * x**3 - 0.001 * x**2 + 0.6 * x, df=200) diff --git a/selfdrive/mapd/test/mock_osm_response_01.xml b/selfdrive/mapd/test/mock_osm_response_01.xml new file mode 100644 index 00000000000000..d1e2a219ced8d3 --- /dev/null +++ b/selfdrive/mapd/test/mock_osm_response_01.xml @@ -0,0 +1,9908 @@ + + + +The data included in this document is from www.openstreetmap.org. The data is made available under ODbL. + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 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+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/selfdrive/mapd/test/test_NodesData.py b/selfdrive/mapd/test/test_NodesData.py new file mode 100644 index 00000000000000..42ef9139f05cf3 --- /dev/null +++ b/selfdrive/mapd/test/test_NodesData.py @@ -0,0 +1,354 @@ +import unittest +import numpy as np +from openpilot.selfdrive.mapd.lib.geo import DIRECTION +from openpilot.common.conversions import Conversions as CV +from openpilot.selfdrive.mapd.lib.WayRelation import WayRelation +from openpilot.selfdrive.mapd.lib.NodesData import nodes_raw_data_array_for_wr, node_calculations, \ + spline_curvature_calculations, split_speed_section_by_sign, split_speed_section_by_curv_degree, speed_section, \ + speed_limits_for_curvatures_data, is_wr_a_valid_divertion_from_node, SpeedLimitSection, TurnSpeedLimitSection, \ + NodesData, NodeDataIdx +from openpilot.selfdrive.mapd.test.mock_data import mockOSMWay_01_01_LongCurvy, mockNodesData01, mockCurveSectionSin, \ + mockCurveSteepCurvChange, mockCurveSteepCurvChangeShort, mockCurveSmoothCurveChange, \ + mockOSMWay_02_01_CurvyTownWithIntersections, mockOSMWay_02_02_Divertion_34785115, mockOSMWay_02_03_Short_3_node_way, \ + mockRouteData_02_01, mockRouteData_02_02_single_wr, mockRouteData_02_03 +from numpy.testing import assert_array_almost_equal + + +class TestNodesDataFileFunctions(unittest.TestCase): + def test_nodes_raw_data_array_for_wr(self): + wr = WayRelation(mockOSMWay_01_01_LongCurvy) + data_e = np.array([(n.id, n.lat, n.lon, wr.speed_limit) for n in wr.way.nodes], dtype=float) + data = nodes_raw_data_array_for_wr(wr) + + assert_array_almost_equal(data, data_e) + + def test_nodes_raw_data_array_for_wr_flips_when_backwards(self): + wr = WayRelation(mockOSMWay_01_01_LongCurvy) + wr.direction = DIRECTION.BACKWARD + + data_e = np.array([(n.id, n.lat, n.lon, wr.speed_limit) for n in wr.way.nodes], dtype=float) + data_e = np.flip(data_e, axis=0) + + data = nodes_raw_data_array_for_wr(wr) + + assert_array_almost_equal(data, data_e) + + def test_nodes_raw_data_array_for_wr_drops_last(self): + wr = WayRelation(mockOSMWay_01_01_LongCurvy) + data_e = np.array([(n.id, n.lat, n.lon, wr.speed_limit) for n in wr.way.nodes], dtype=float)[:-1] + data = nodes_raw_data_array_for_wr(wr, drop_last=True) + + assert_array_almost_equal(data, data_e) + + def test_node_calculations(self): + points = mockNodesData01.radians + + v, dp, dn, dr, b = node_calculations(points) + + assert_array_almost_equal(v, mockNodesData01.v) + assert_array_almost_equal(dp, mockNodesData01.dp) + assert_array_almost_equal(dn, mockNodesData01.dn) + assert_array_almost_equal(dr, mockNodesData01.dr) + assert_array_almost_equal(b, mockNodesData01.b) + + def test_node_calculations_index_error(self): + points = mockNodesData01.radians[:2] + + with self.assertRaises(IndexError): + node_calculations(points) + + def test_spline_curvature_calculations(self): + vect = mockNodesData01.v + dist_prev = mockNodesData01.dp + + curv, curv_ds = spline_curvature_calculations(vect, dist_prev) + + assert_array_almost_equal(curv, mockNodesData01.curv) + assert_array_almost_equal(curv_ds, mockNodesData01.curv_ds) + + def test_spline_curvature_calculations_with_route_data(self): + mockRouteData_02_01.reset() + nodes_data = mockRouteData_02_01._nodes_data + vect = np.column_stack((nodes_data[:, 4], nodes_data[:, 5])) + dist_prev = nodes_data[:, 6] + + curv, curv_ds = spline_curvature_calculations(vect, dist_prev) + + assert_array_almost_equal(curv, mockRouteData_02_01._curv) + assert_array_almost_equal(curv_ds, mockRouteData_02_01._curv_ds) + + def test_split_speed_section_by_sign(self): + curv_sec = mockCurveSectionSin.curv_sec + new_secs = split_speed_section_by_sign(curv_sec) + + # 3 sections with matching initial and final distance + self.assertEqual(len(new_secs), 3) + self.assertEqual(new_secs[0][0][2], mockCurveSectionSin.di) + self.assertEqual(new_secs[2][-1][2], mockCurveSectionSin.df) + + # All new sections has same sign internally + for sec in new_secs: + self.assertEqual(np.average(sec, axis=0)[1], sec[0][1]) + + # Sections change sign + for idx in range(2): + self.assertNotEqual(new_secs[idx][0][1], new_secs[idx + 1][0][1]) + + # total items consistency + lengths = [len(sec) for sec in new_secs] + self.assertEqual(len(curv_sec), sum(lengths)) + + def test_split_speed_section_by_curv_degree(self): + curv_sec = mockCurveSteepCurvChange.curv_sec + new_secs = split_speed_section_by_curv_degree(curv_sec) + + # 3 sections with matching initial and final distance + self.assertEqual(len(new_secs), 3) + self.assertEqual(new_secs[0][0][2], mockCurveSteepCurvChange.di) + self.assertEqual(new_secs[2][-1][2], mockCurveSteepCurvChange.df) + + # Sections split at the right points + split_dist = [sec[-1][2] for sec in new_secs] + self.assertListEqual(split_dist, [50., 150., 200.]) + + def test_split_speed_section_by_curv_degree_does_nothing_if_short(self): + curv_sec = mockCurveSteepCurvChangeShort.curv_sec + new_secs = split_speed_section_by_curv_degree(curv_sec) + + self.assertEqual(len(new_secs), 1) + assert_array_almost_equal(curv_sec, new_secs[0]) + + def test_split_speed_section_by_curv_degree_does_nothing_if_no_substantial_change(self): + curv_sec = mockCurveSmoothCurveChange.curv_sec + new_secs = split_speed_section_by_curv_degree(curv_sec) + + self.assertEqual(len(new_secs), 1) + assert_array_almost_equal(curv_sec, new_secs[0]) + + def test_speed_section(self): + curv_sec = mockCurveSectionSin.curv_sec + + speed_secs = speed_section(curv_sec) + expected = np.array([0., 1000., 1.51657509, 1.]) + + assert_array_almost_equal(speed_secs, expected) + + def test_speed_limits_for_curvatures_data(self): + curv = mockCurveSectionSin.curv + curv_ds = mockCurveSectionSin.curv_ds + + expected = np.array([ + [10., 490., 1.51657509, 1.], + [510., 990., 1.51657509, -1.]]) + limits = speed_limits_for_curvatures_data(curv, curv_ds) + + assert_array_almost_equal(limits, expected) + + def test_is_wr_a_valid_divertion_from_node(self): + wr = WayRelation(mockOSMWay_02_01_CurvyTownWithIntersections) + mockOSMWay_02_02_Divertion_34785115.tags['oneway'] = 'yes' + wr_div = WayRelation(mockOSMWay_02_02_Divertion_34785115) + + # False if id already in route + wr_ids = [wr.wr_id, wr_div.wr_id] + self.assertFalse(is_wr_a_valid_divertion_from_node(wr_div, 34785115, wr_ids)) + + # True if id not in route, node_id is edge and not prohibited + wr_ids = [wr.wr_id, 11111, 22222] + self.assertTrue(is_wr_a_valid_divertion_from_node(wr_div, 34785115, wr_ids)) + + # False if id not in route, node_id is edge but prohibited (wrong direction from node 319503453) + self.assertFalse(is_wr_a_valid_divertion_from_node(wr_div, 319503453, wr_ids)) + + # False if id not in route, node_id is not edge + self.assertFalse(is_wr_a_valid_divertion_from_node(wr_div, 44444, wr_ids)) + + +class TestSpeedLimitSection(unittest.TestCase): + def test_speed_limit_section_init(self): + section = SpeedLimitSection(10., 20., 50.) + + self.assertEqual(section.start, 10.) + self.assertEqual(section.end, 20.) + self.assertEqual(section.value, 50.) + + +class TestTurnSpeedLimitSection(unittest.TestCase): + def test_turn_speed_limit_section_init(self): + section = TurnSpeedLimitSection(10., 20., 50., -1.) + + self.assertEqual(section.start, 10.) + self.assertEqual(section.end, 20.) + self.assertEqual(section.value, 50.) + self.assertEqual(section.curv_sign, -1.) + + +class TestNodesData(unittest.TestCase): + def test_init_with_empty_list(self): + nodesData = NodesData([], {}) + + self.assertEqual(len(nodesData._nodes_data), 0) + num_diverstions = sum([len(d) for d in nodesData._divertions]) + self.assertEqual(num_diverstions, 0) + self.assertEqual(len(nodesData._curvature_speed_sections_data), 0) + + def test_init_with_single_wr_includes_all_wr_nodes(self): + mockRouteData_02_02_single_wr.reset() + way_relations = mockRouteData_02_02_single_wr.wrs + wr_index = mockRouteData_02_02_single_wr.way_collection.wr_index + + nodesData = NodesData(way_relations, wr_index) + + assert_array_almost_equal(nodesData._nodes_data, mockRouteData_02_02_single_wr._nodes_data) + assert_array_almost_equal(nodesData._curvature_speed_sections_data, + mockRouteData_02_02_single_wr._curvature_speed_sections_data) + self.assertListEqual(nodesData._divertions, mockRouteData_02_02_single_wr._divertions) + self.assertEqual(len(nodesData._nodes_data), len(way_relations[0].way.nodes)) + self.assertEqual(len(nodesData._curvature_speed_sections_data), 6) + num_diverstions = sum([len(d) for d in nodesData._divertions]) + self.assertEqual(num_diverstions, 6) + + def test_init_with_less_than_4_nodes(self): + wr_t = WayRelation(mockOSMWay_02_03_Short_3_node_way) + + nodesData = NodesData([wr_t], {}) + + self.assertEqual(len(nodesData._nodes_data), 0) + num_diverstions = sum([len(d) for d in nodesData._divertions]) + self.assertEqual(num_diverstions, 0) + self.assertEqual(len(nodesData._curvature_speed_sections_data), 0) + + def test_init_with_multiple_wr(self): + mockRouteData_02_01.reset() + way_relations = mockRouteData_02_01.wrs + wr_index = mockRouteData_02_01.way_collection.wr_index + + nodesData = NodesData(way_relations, wr_index) + + assert_array_almost_equal(nodesData._nodes_data, mockRouteData_02_01._nodes_data) + assert_array_almost_equal(nodesData._curvature_speed_sections_data, mockRouteData_02_01._curvature_speed_sections_data) + self.assertListEqual(nodesData._divertions, mockRouteData_02_01._divertions) + self.assertEqual(len(nodesData._curvature_speed_sections_data), 9) + num_diverstions = sum([len(d) for d in nodesData._divertions]) + self.assertEqual(num_diverstions, 14) + + def test_count(self): + mockRouteData_02_01.reset() + way_relations = mockRouteData_02_01.wrs + wr_index = mockRouteData_02_01.way_collection.wr_index + num_n = sum([len(wr.way.nodes) for wr in way_relations]) - len(way_relations) + 1 + + nodesData = NodesData(way_relations, wr_index) + + self.assertEqual(nodesData.count, num_n) + + def test_get_on_empty(self): + wr_t = WayRelation(mockOSMWay_02_03_Short_3_node_way) + + nodesData = NodesData([wr_t], {}) + assert_array_almost_equal(nodesData.get(NodeDataIdx.node_id), np.array([])) + + def test_get_values(self): + mockRouteData_02_01.reset() + way_relations = mockRouteData_02_01.wrs + wr_index = mockRouteData_02_01.way_collection.wr_index + + nodesData = NodesData(way_relations, wr_index) + + assert_array_almost_equal(nodesData.get(NodeDataIdx.node_id), mockRouteData_02_01._nodes_data[:, 0]) + assert_array_almost_equal(nodesData.get(NodeDataIdx.lat), mockRouteData_02_01._nodes_data[:, 1]) + assert_array_almost_equal(nodesData.get(NodeDataIdx.lon), mockRouteData_02_01._nodes_data[:, 2]) + assert_array_almost_equal(nodesData.get(NodeDataIdx.speed_limit), mockRouteData_02_01._nodes_data[:, 3]) + assert_array_almost_equal(nodesData.get(NodeDataIdx.x), mockRouteData_02_01._nodes_data[:, 4]) + assert_array_almost_equal(nodesData.get(NodeDataIdx.y), mockRouteData_02_01._nodes_data[:, 5]) + assert_array_almost_equal(nodesData.get(NodeDataIdx.dist_prev), mockRouteData_02_01._nodes_data[:, 6]) + assert_array_almost_equal(nodesData.get(NodeDataIdx.dist_next), mockRouteData_02_01._nodes_data[:, 7]) + assert_array_almost_equal(nodesData.get(NodeDataIdx.dist_route), mockRouteData_02_01._nodes_data[:, 8]) + assert_array_almost_equal(nodesData.get(NodeDataIdx.bearing), mockRouteData_02_01._nodes_data[:, 9]) + + def test_speed_limits_ahead_from_empty(self): + wr_t = WayRelation(mockOSMWay_02_03_Short_3_node_way) + + nodesData = NodesData([wr_t], {}) + self.assertEqual(len(nodesData.speed_limits_ahead(1, 10.)), 0) + + def test_speed_limits_ahead(self): + mockRouteData_02_03.reset() + way_relations = mockRouteData_02_03.wrs + wr_index = mockRouteData_02_03.way_collection.wr_index + + nodesData = NodesData(way_relations, wr_index) + + # empty when ahead_idx is none. + self.assertEqual(len(nodesData.speed_limits_ahead(None, 10.)), 0) + + # All limist from 0 + all_limits = nodesData.speed_limits_ahead(1, nodesData.get(NodeDataIdx.dist_next)[0]) + self.assertEqual(len(all_limits), 4) # 4 limits on this mock road. + self.assertListEqual([sl.value for sl in all_limits], [v * CV.KPH_TO_MS for v in [50, 100, 50, 100]]) + for idx, sl in enumerate(all_limits): + self.assertTrue(sl.end > sl.start) + self.assertTrue(sl.value > 0.) + if idx == 0: + self.assertEqual(sl.start, 0.) + else: + self.assertEqual(sl.start, all_limits[idx - 1].end) + self.assertNotEqual(sl.value, all_limits[idx - 1].value) + + def test_distance_to_end_from_empty(self): + wr_t = WayRelation(mockOSMWay_02_03_Short_3_node_way) + + nodesData = NodesData([wr_t], {}) + self.assertIsNone(nodesData.distance_to_end(1, 10.)) + + def test_distance_to_end(self): + mockRouteData_02_03.reset() + way_relations = mockRouteData_02_03.wrs + wr_index = mockRouteData_02_03.way_collection.wr_index + + nodesData = NodesData(way_relations, wr_index) + + # none when ahead_idx is none. + self.assertIsNone(nodesData.distance_to_end(None, 10.)) + + # From the beginning + expected = np.sum(nodesData.get(NodeDataIdx.dist_next)) + self.assertAlmostEqual(nodesData.distance_to_end(1, nodesData.get(NodeDataIdx.dist_next)[0]), expected) + self.assertAlmostEqual(nodesData.get(NodeDataIdx.dist_route)[-1], expected) + + # From the node next to last + expected = nodesData.get(NodeDataIdx.dist_next)[-2] + self.assertAlmostEqual(nodesData.distance_to_end(nodesData.count - 2, 0.), expected) + + def test_distance_to_node(self): + mockRouteData_02_03.reset() + way_relations = mockRouteData_02_03.wrs + wr_index = mockRouteData_02_03.way_collection.wr_index + + nodesData = NodesData(way_relations, wr_index) + dist_to_node_ahead = 10. + node_id = 1887995486 # Some node id in the middle of the way. idx 50 + node_idx = np.nonzero(nodesData.get(NodeDataIdx.node_id) == node_id)[0][0] + + # none when ahead_idx is none. + self.assertIsNone(nodesData.distance_to_node(node_id, None, dist_to_node_ahead)) + + # From the beginning + expected = nodesData.get(NodeDataIdx.dist_route)[node_idx] + self.assertAlmostEqual(nodesData.distance_to_node(node_id, 1, nodesData.get(NodeDataIdx.dist_next)[0]), expected) + + # From the end + expected = -np.sum(nodesData.get(NodeDataIdx.dist_next)[node_idx:]) + self.assertAlmostEqual(nodesData.distance_to_node(node_id, len(nodesData.get(NodeDataIdx.node_id)) - 1, 0.), expected) + + # From some node behind including dist to node ahead + ahead_idx = node_idx - 10 + expected = np.sum(nodesData.get(NodeDataIdx.dist_next)[ahead_idx:node_idx]) + dist_to_node_ahead + self.assertAlmostEqual(nodesData.distance_to_node(node_id, ahead_idx, dist_to_node_ahead), expected) + + # From some node ahead including dist to node ahead + ahead_idx = node_idx + 10 + expected = -np.sum(nodesData.get(NodeDataIdx.dist_next)[node_idx:ahead_idx]) + dist_to_node_ahead + self.assertAlmostEqual(nodesData.distance_to_node(node_id, ahead_idx, dist_to_node_ahead), expected) + +# TODO: Missing tests for curvatures_speed_limit_sections_ahead and possible_divertions diff --git a/selfdrive/mapd/test/test_WayRelation.py b/selfdrive/mapd/test/test_WayRelation.py new file mode 100644 index 00000000000000..a0e78088b28f57 --- /dev/null +++ b/selfdrive/mapd/test/test_WayRelation.py @@ -0,0 +1,651 @@ +import copy +import unittest +import numpy as np +from unittest import mock +from numpy.testing import assert_array_almost_equal +from datetime import datetime as dt, timezone, timedelta +from openpilot.common.conversions import Conversions as CV +from openpilot.selfdrive.mapd.lib.WayRelation import WayRelation, is_osm_time_condition_active, \ + conditional_speed_limit_for_osm_tag_limit_string, speed_limit_for_osm_tag_limit_string +from openpilot.selfdrive.mapd.config import LANE_WIDTH +from openpilot.selfdrive.mapd.lib.geo import DIRECTION, R, vectors +from openpilot.selfdrive.mapd.test.mock_data import mockOSMWay_01_01_LongCurvy, mockOSMWay_01_02_Loop, \ + mockOSMWay_02_01_CurvyTownWithIntersections + + +class TestWayRelationFileFunctions(unittest.TestCase): + def test_speed_limit_for_osm_tag_limit_string(self): + values = [ + None, # Invalid + "1000", # Invalid + "60 kph", # Invalid + "100", + "30 mph", + "DE:zone:40", + "DE:zone:50 mph", + "AR:urban", + "CZ:pedestrian_zone", + "DK:urban", + "DK:rural", + "DK:motorway", + "DE:living_street", + "DE:residential", + "DE:urban", + "DE:rural", + "DE:trunk", # No limit + "DE:motorway", # No limit + "GB:nsl_restricted", + "GB:nsl_single", + "GB:nsl_dual", + "GB:motorway", + "GB:invalid", # Invalid + ] + + expected = [ + 0., + 0., + 0., + 100. * CV.KPH_TO_MS, + 30. * CV.MPH_TO_MS, + 40. * CV.KPH_TO_MS, + 50. * CV.MPH_TO_MS, + 40. * CV.KPH_TO_MS, + 20. * CV.KPH_TO_MS, + 50. * CV.KPH_TO_MS, + 80. * CV.KPH_TO_MS, + 130. * CV.KPH_TO_MS, + 7. * CV.KPH_TO_MS, + 30. * CV.KPH_TO_MS, + 50. * CV.KPH_TO_MS, + 100. * CV.KPH_TO_MS, + 0., + 0., + 30. * CV.MPH_TO_MS, + 60. * CV.MPH_TO_MS, + 70. * CV.MPH_TO_MS, + 70. * CV.MPH_TO_MS, + 0., + ] + + result = [speed_limit_for_osm_tag_limit_string(sls) for sls in values] + + self.assertEqual(result, expected) + + @mock.patch('selfdrive.mapd.lib.WayRelation.dt') + def test_is_osm_time_condition_active(self, mock_dt): + tz = timezone(timedelta(hours=1), 'berlin') + wed_10_10_am = dt(2021, 9, 1, 10, 10, 0) + mock_dt.now.return_value = wed_10_10_am + mock_dt.tzinfo = tz + mock_dt.combine = dt.combine + mock_dt.strptime = dt.strptime + + values = [ + "WE", # Invalid + "We", + "Mo", + "Fr", + "Tu-Th", + "10:00", # Invalid + "10:00-10:30", + "We 10:00-10:30", + "SU 10:00-10:30", # Valid, SU string not considered a day string. + "Sa 10:00-10:30", + "Tu-Th 10:00-10:30", + ] + + expected = [ + False, # Invalid + True, + False, + False, + True, + False, # Invalid + True, + True, + True, + False, + True, + ] + + result = [is_osm_time_condition_active(cs) for cs in values] + + self.assertEqual(result, expected) + + @mock.patch('selfdrive.mapd.lib.WayRelation.dt') + def test_conditional_speed_limit_for_osm_tag_limit_string(self, mock_dt): + tz = timezone(timedelta(hours=1), 'berlin') + wed_10_10_am = dt(2021, 9, 1, 10, 10, 0) + mock_dt.now.return_value = wed_10_10_am + mock_dt.tzinfo = tz + mock_dt.combine = dt.combine + mock_dt.strptime = dt.strptime + + values = [ + None, # Invalid + "Hola", # Invalid + "100 @ (WE)", # Invalid + "x @ (We)", # Invalid + "100 @ (We)", + "100 @ (Mo)", + "100 @ (Fr)", + "100 @ (Tu-Th)", + "100 @ (10:00)", # Invalid + "100 @ (10:00-10:30)", + "100 @ (We 10:00-10:30)", + "100 @ (SU 10:00-10:30)", # Valid, SU string not considered a day string. + "100 @ (Sa 10:00-10:30)", + "100 @ (Tu-Th 10:00-10:30)", + "100 @ (Mo-Th;Su)", + "100 @ (Mo Th;Fr-Sa)", + "100 @ (Fr-Su;Mo-Tu)", + "100 @ (10:00-10:30;15:00-16:00)", + "100 @ (We;Mo-Tu)", + "100 @ (We 10:00-10:30;Th 15:00-16:00)", + "100 @ (Tu 10:00-10:30;Th 15:00-16:00)", + ] + + _100 = 100. * CV.KPH_TO_MS + + expected = [ + 0., # Invalid + 0., # Invalid + 0., # Invalid + 0., # Invalid + _100, + 0., + 0., + _100, + 0., # Invalid + _100, + _100, + _100, + 0., + _100, + _100, + _100, + 0., + _100, + _100, + _100, + 0. + ] + + result = [conditional_speed_limit_for_osm_tag_limit_string(ls) for ls in values] + + self.assertEqual(result, expected) + + +class TestWayRelation(unittest.TestCase): + def test_way_relation_init(self): + wayRelation = WayRelation(mockOSMWay_01_01_LongCurvy) + + nodes_np_expected = np.radians(np.array([[node.lat, node.lon] for node in wayRelation.way.nodes], dtype=float)) + v = vectors(wayRelation._nodes_np) + way_distances_expected = np.linalg.norm(v * R, axis=1) + way_bearings_expected = np.arctan2(v[:, 0], v[:, 1]) + bbox_expected = np.array([ + [0.91321784, 0.2346417], + [0.91344672, 0.23475751]]) + + self.assertEqual(wayRelation.way.id, 179532213) + self.assertIsNone(wayRelation.parent_wr_id) + self.assertEqual(wayRelation.direction, DIRECTION.NONE) + self.assertEqual(wayRelation._speed_limit, None) + self.assertEqual(wayRelation._one_way, 'yes') + self.assertEqual(wayRelation.name, None) + self.assertEqual(wayRelation.ref, 'B 96') + self.assertEqual(wayRelation.highway_type, 'trunk') + self.assertEqual(wayRelation.highway_rank, 10) + self.assertEqual(wayRelation.lanes, 2) + assert_array_almost_equal(wayRelation._nodes_np, nodes_np_expected) + assert_array_almost_equal(wayRelation._way_distances, way_distances_expected) + assert_array_almost_equal(wayRelation._way_bearings, way_bearings_expected) + assert_array_almost_equal(wayRelation.bbox, bbox_expected) + self.assertEqual(wayRelation.edge_nodes_ids, [wayRelation.way.nodes[0].id, wayRelation.way.nodes[-1].id]) + + def test_way_relation_init_with_parent(self): + wayRelation = WayRelation(mockOSMWay_01_01_LongCurvy, parent=WayRelation(mockOSMWay_01_02_Loop)) + + self.assertEqual(wayRelation.way.id, 179532213) + self.assertEqual(wayRelation.parent_wr_id, 29233907) + + def test_way_relation_equality(self): + wayRelation1 = WayRelation(mockOSMWay_01_01_LongCurvy) + wayRelation2 = copy.copy(wayRelation1) + wayRelation3 = copy.deepcopy(wayRelation1) + wayRelation3.way.id = 123 + + self.assertEqual(wayRelation1, wayRelation2) + self.assertNotEqual(wayRelation1, wayRelation3) + + def test_way_relation_reset_location_variables(self): + wayRelation = WayRelation(mockOSMWay_01_01_LongCurvy) + self.make_wayRelation_location_dirty(wayRelation) + + wayRelation.reset_location_variables() + + self.assert_wayRelation_variables_reset(wayRelation) + + def test_way_relation_id(self): + wayRelation = WayRelation(mockOSMWay_01_01_LongCurvy) + + self.assertEqual(wayRelation.wr_id, 179532213) + + def test_way_relation_road_name(self): + # road name when no tag for name or ref + wayRelation = WayRelation(mockOSMWay_01_02_Loop) + self.assertIsNone(wayRelation.road_name) + # road name based on ref tag + wayRelation = WayRelation(mockOSMWay_01_01_LongCurvy) + self.assertEqual(wayRelation.road_name, "B 96") + # road name based on name tag + wayRelation = WayRelation(mockOSMWay_02_01_CurvyTownWithIntersections) + self.assertEqual(wayRelation.road_name, "Hauptstraße") + + def test_way_relation_update_resets_on_update(self): + wayRelation = WayRelation(mockOSMWay_01_01_LongCurvy) + self.make_wayRelation_location_dirty(wayRelation) + location_rad = np.array([0., 0.]) # Location outside bbox + + wayRelation.update(location_rad, 0., 10.) + + self.assertFalse(wayRelation.is_location_in_bbox(location_rad)) + self.assert_wayRelation_variables_reset(wayRelation) + + def test_way_relation_update_only_resets_if_no_possible_found(self): + wayRelation = WayRelation(mockOSMWay_01_01_LongCurvy) + location_rad = wayRelation.bbox[0] # Location inside bbox but outside actual way (due to padding) + + wayRelation.update(location_rad, 0., 10.) + + self.assertTrue(wayRelation.is_location_in_bbox(location_rad)) + self.assert_wayRelation_variables_reset(wayRelation) + + def test_way_relation_updates_in_the_correct_direction_with_correct_property_values(self): + wayRelation = WayRelation(mockOSMWay_01_01_LongCurvy) + location_rad = np.radians(np.array([52.32855593146639, 13.445320150125069])) + bearing_rad = 0. + + wayRelation.update(location_rad, bearing_rad, 10.) + + self.assertTrue(wayRelation.is_location_in_bbox(location_rad)) + self.assertEqual(wayRelation.direction, DIRECTION.FORWARD) + self.assertEqual(wayRelation.ahead_idx, 17) + self.assertEqual(wayRelation.behind_idx, 16) + self.assertAlmostEqual(wayRelation._distance_to_way, 3.43290781621360) + self.assertAlmostEqual(wayRelation._active_bearing_delta, 0.320717420388962) + self.assertAlmostEqual(wayRelation.distance_to_node_ahead, 25.4998961709014) + self.assertTrue(wayRelation.active) + self.assertFalse(wayRelation.diverting) + assert_array_almost_equal(wayRelation.location_rad, location_rad) + self.assertEqual(wayRelation.bearing_rad, bearing_rad) + self.assertIsNone(wayRelation._speed_limit) + + bearing_rad = 180. + + wayRelation.update(location_rad, bearing_rad, 10.) + + self.assertTrue(wayRelation.is_location_in_bbox(location_rad)) + self.assertEqual(wayRelation.direction, DIRECTION.BACKWARD) + self.assertEqual(wayRelation.ahead_idx, 16) + self.assertEqual(wayRelation.behind_idx, 17) + self.assertAlmostEqual(wayRelation._distance_to_way, 3.43290781621360) + self.assertAlmostEqual(wayRelation._active_bearing_delta, 0.9507682562504284) + self.assertAlmostEqual(wayRelation.distance_to_node_ahead, 11.11623371145368) + self.assertTrue(wayRelation.active) + self.assertFalse(wayRelation.diverting) + assert_array_almost_equal(wayRelation.location_rad, location_rad) + self.assertEqual(wayRelation.bearing_rad, bearing_rad) + self.assertIsNone(wayRelation._speed_limit) + + def test_way_relation_updates_with_location_closest_to_way_when_multiple_possible(self): + wayRelation = WayRelation(mockOSMWay_01_02_Loop) + location_rad = np.radians(np.array([52.313303275461564, 13.437729236325788])) + bearing_rad = np.radians(10.) + + wayRelation.update(location_rad, bearing_rad, 10.) + + self.assertTrue(wayRelation.is_location_in_bbox(location_rad)) + self.assertEqual(wayRelation.direction, DIRECTION.BACKWARD) + self.assertEqual(wayRelation.ahead_idx, 26) + self.assertEqual(wayRelation.behind_idx, 27) + self.assertAlmostEqual(wayRelation._distance_to_way, 10.151775235257011) + self.assertAlmostEqual(wayRelation._active_bearing_delta, 0.06371131069242782) + self.assertAlmostEqual(wayRelation.distance_to_node_ahead, 10.174073707120915) + self.assertTrue(wayRelation.active) + self.assertFalse(wayRelation.diverting) + assert_array_almost_equal(wayRelation.location_rad, location_rad) + self.assertEqual(wayRelation.bearing_rad, bearing_rad) + self.assertIsNone(wayRelation._speed_limit) + + def test_way_relation_updates_will_become_inactive_if_too_far_from_way(self): + wayRelation = WayRelation(mockOSMWay_01_01_LongCurvy) + # Location is 24.9 mts away from the way. There are 2 Lanes in this way. + location_rad = np.radians(np.array([52.328634560607746, 13.445609877522788])) + location_stdev = 5.5 # threshold is 4 * location_stdev + LANE_WIDTH + distance_threshold = 4. * location_stdev + wayRelation.lanes * LANE_WIDTH / 2. + + wayRelation.update(location_rad, 0., location_stdev) + self.assertTrue(wayRelation.active) + self.assertLess(wayRelation._distance_to_way, distance_threshold) + + location_stdev = 5. + + wayRelation.update(location_rad, 0., location_stdev) + self.assertFalse(wayRelation.active) + + def test_way_relation_updates_will_update_diverting_correctly(self): + wayRelation = WayRelation(mockOSMWay_01_01_LongCurvy) + # Location is 24.9 mts away from the way. There are 2 Lanes in this way. + location_rad = np.radians(np.array([52.328634560607746, 13.445609877522788])) + location_stdev = 11. + distance_threshold = 2. * location_stdev + wayRelation.lanes * LANE_WIDTH / 2. + + wayRelation.update(location_rad, 0., location_stdev) + + self.assertLess(wayRelation._distance_to_way, distance_threshold) + self.assertFalse(wayRelation.diverting) + + location_stdev = 10. + distance_threshold = 2. * location_stdev + wayRelation.lanes * LANE_WIDTH / 2. + + wayRelation.update(location_rad, 0., location_stdev) + + self.assertGreater(wayRelation._distance_to_way, distance_threshold) + self.assertTrue(wayRelation.diverting) + + def test_way_relation_update_direction_from_starting_node_resets_speed_limit(self): + wayRelation = WayRelation(mockOSMWay_01_01_LongCurvy) + wayRelation._speed_limit = 10. + + wayRelation.update_direction_from_starting_node(wayRelation.way.nodes[0].id) + + self.assertIsNone(wayRelation._speed_limit) + + def test_way_relation_update_direction_from_starting_node_updates_correctly(self): + wayRelation = WayRelation(mockOSMWay_01_01_LongCurvy) + wayRelation.update_direction_from_starting_node(wayRelation.way.nodes[0].id) + self.assertEqual(wayRelation.direction, DIRECTION.FORWARD) + + wayRelation.update_direction_from_starting_node(wayRelation.way.nodes[-1].id) + self.assertEqual(wayRelation.direction, DIRECTION.BACKWARD) + + wayRelation.update_direction_from_starting_node(0) + self.assertEqual(wayRelation.direction, DIRECTION.NONE) + + def test_way_relation_is_location_in_bbox(self): + wayRelation = WayRelation(mockOSMWay_01_02_Loop) + bbox = wayRelation.bbox + + loc_avg = np.average(bbox, axis=0) + loc_min = np.min(bbox, axis=0) + loc_max = np.max(bbox, axis=0) + + locations = [ + loc_avg, + loc_min, + loc_max, + [loc_avg[0], loc_min[1]], + [loc_avg[0], loc_max[1]], + [loc_min[0], loc_avg[1]], + [loc_max[0], loc_avg[1]], + loc_min - 0.1, + loc_max + 0.1, + [loc_avg[0], loc_min[1] - 0.1], + [loc_avg[0], loc_max[1] + 0.1], + [loc_min[0] - 0.1, loc_avg[1]], + [loc_max[0] + 0.1, loc_avg[1]], + ] + + is_in = [wayRelation.is_location_in_bbox(loc) for loc in locations] + + self.assertEqual(is_in, [True, True, True, True, True, True, True, False, False, False, False, False, False]) + + def test_way_relation_speed_limit_when_set(self): + wayRelation = WayRelation(mockOSMWay_01_02_Loop) + wayRelation._speed_limit = 10. + + self.assertEqual(wayRelation.speed_limit, 10.) + + @mock.patch('selfdrive.mapd.lib.WayRelation.dt') + def test_way_relation_speed_limit_conditional(self, mock_dt): + tz = timezone(timedelta(hours=1), 'berlin') + wed_10_10_am = dt(2021, 9, 1, 10, 10, 0) + mock_dt.now.return_value = wed_10_10_am + mock_dt.tzinfo = tz + mock_dt.combine = dt.combine + mock_dt.strptime = dt.strptime + + # Reset all tags before teting + mockOSMWay_01_02_Loop.tags = {} + wayRelation = WayRelation(mockOSMWay_01_02_Loop) + + # No Value + self.assertEqual(wayRelation.speed_limit, 0.) + + # Value on both directions + wayRelation._speed_limit = None + wayRelation.way.tags["maxspeed:conditional"] = "100 @ (We 10:00-10:30)" + self.assertEqual(wayRelation.speed_limit, 100. * CV.KPH_TO_MS) + + # Value on forward + wayRelation.way.tags.pop("maxspeed:conditional") + wayRelation._speed_limit = None + wayRelation.direction = DIRECTION.FORWARD + self.assertEqual(wayRelation.speed_limit, 0.) + + wayRelation._speed_limit = None + wayRelation.way.tags["maxspeed:forward:conditional"] = "100 @ (We 10:00-10:30)" + self.assertEqual(wayRelation.speed_limit, 100. * CV.KPH_TO_MS) + + # Value on backward + wayRelation._speed_limit = None + wayRelation.direction = DIRECTION.BACKWARD + self.assertEqual(wayRelation.speed_limit, 0.) + + wayRelation._speed_limit = None + wayRelation.way.tags["maxspeed:backward:conditional"] = "100 @ (We 10:00-10:30)" + self.assertEqual(wayRelation.speed_limit, 100. * CV.KPH_TO_MS) + + def test_way_relation_speed_limit_maxspeed(self): + # Reset all tags before teting + mockOSMWay_01_02_Loop.tags = {} + wayRelation = WayRelation(mockOSMWay_01_02_Loop) + + # No Value + self.assertEqual(wayRelation.speed_limit, 0.) + + # Value on both directions + wayRelation._speed_limit = None + wayRelation.way.tags["maxspeed"] = "100" + self.assertEqual(wayRelation.speed_limit, 100. * CV.KPH_TO_MS) + + # Value on forward + wayRelation.way.tags.pop("maxspeed") + wayRelation._speed_limit = None + wayRelation.direction = DIRECTION.FORWARD + self.assertEqual(wayRelation.speed_limit, 0.) + + wayRelation._speed_limit = None + wayRelation.way.tags["maxspeed:forward"] = "100" + self.assertEqual(wayRelation.speed_limit, 100. * CV.KPH_TO_MS) + + # Value on backward + wayRelation._speed_limit = None + wayRelation.direction = DIRECTION.BACKWARD + self.assertEqual(wayRelation.speed_limit, 0.) + + wayRelation._speed_limit = None + wayRelation.way.tags["maxspeed:backward"] = "100" + self.assertEqual(wayRelation.speed_limit, 100. * CV.KPH_TO_MS) + + def test_way_relation_active_bearing_delta_reflects_internal_value(self): + wayRelation = WayRelation(mockOSMWay_01_02_Loop) + wayRelation._active_bearing_delta = 10. + self.assertEqual(wayRelation.active_bearing_delta, 10.) + + def test_way_relation_is_one_way(self): + # Setup initial tags + mockOSMWay_01_02_Loop.tags = { + 'oneway': 'yes', + 'highway': 'unclassified' + } + wayRelation = WayRelation(mockOSMWay_01_02_Loop) + + # oneway = yes + self.assertTrue(wayRelation.is_one_way) + + # oneway non existing + wayRelation._one_way = None + self.assertFalse(wayRelation.is_one_way) + + # highway = motorway + wayRelation.highway_type = 'motorway' + self.assertTrue(wayRelation.is_one_way) + + def test_way_relation_is_prohibited(self): + # Setup initial tags + mockOSMWay_01_02_Loop.tags = { + 'oneway': 'yes' + } + wayRelation = WayRelation(mockOSMWay_01_02_Loop) + + # Direction undefined + wayRelation.direction = DIRECTION.NONE + self.assertTrue(wayRelation.is_prohibited) + + # oneway = yes + wayRelation.direction = DIRECTION.BACKWARD + self.assertTrue(wayRelation.is_prohibited) + + wayRelation.direction = DIRECTION.FORWARD + self.assertFalse(wayRelation.is_prohibited) + + # oneway non existing + wayRelation._one_way = None + self.assertFalse(wayRelation.is_one_way) + + wayRelation.direction = DIRECTION.BACKWARD + self.assertFalse(wayRelation.is_prohibited) + + def test_way_relation_distance_to_way_reflects_internal_value(self): + wayRelation = WayRelation(mockOSMWay_01_02_Loop) + wayRelation._distance_to_way = 10. + self.assertEqual(wayRelation.distance_to_way, 10.) + + def test_way_relation_node_ahead(self): + wayRelation = WayRelation(mockOSMWay_01_01_LongCurvy) + # ahead_ids is None on init + self.assertIsNone(wayRelation.node_ahead) + + wayRelation.ahead_idx = 15 + self.assertEqual(wayRelation.node_ahead, wayRelation.way.nodes[15]) + + def test_way_relation_last_node(self): + wayRelation = WayRelation(mockOSMWay_01_01_LongCurvy) + # direction is NONE on init + self.assertIsNone(wayRelation.last_node) + + # forward + wayRelation.direction = DIRECTION.FORWARD + self.assertEqual(wayRelation.last_node, wayRelation.way.nodes[-1]) + + # backward + wayRelation.direction = DIRECTION.BACKWARD + self.assertEqual(wayRelation.last_node, wayRelation.way.nodes[0]) + + def test_way_relation_last_node_coordinates(self): + wayRelation = WayRelation(mockOSMWay_01_01_LongCurvy) + # direction is NONE on init + self.assertIsNone(wayRelation.last_node_coordinates) + + # forward + wayRelation.direction = DIRECTION.FORWARD + coords = np.radians(np.array([wayRelation.way.nodes[-1].lat, wayRelation.way.nodes[-1].lon], dtype=float)) + assert_array_almost_equal(wayRelation.last_node_coordinates, coords) + + # backward + wayRelation.direction = DIRECTION.BACKWARD + coords = np.radians(np.array([wayRelation.way.nodes[0].lat, wayRelation.way.nodes[0].lon], dtype=float)) + assert_array_almost_equal(wayRelation.last_node_coordinates, coords) + + def test_way_relation_node_before_edge_coordinates(self): + wayRelation = WayRelation(mockOSMWay_01_01_LongCurvy) + + coords = wayRelation.node_before_edge_coordinates(0) + assert_array_almost_equal(coords, np.array([0., 0.])) + + coords = wayRelation.node_before_edge_coordinates(wayRelation.way.nodes[0].id) + coords_e = np.radians(np.array([wayRelation.way.nodes[1].lat, wayRelation.way.nodes[1].lon], dtype=float)) + assert_array_almost_equal(coords, coords_e) + + coords = wayRelation.node_before_edge_coordinates(wayRelation.way.nodes[-1].id) + coords_e = np.radians(np.array([wayRelation.way.nodes[-2].lat, wayRelation.way.nodes[-2].lon], dtype=float)) + assert_array_almost_equal(coords, coords_e) + + def test_way_relation_split_no_matching_node(self): + wayRelation = WayRelation(mockOSMWay_01_01_LongCurvy) + + wrs = wayRelation.split(0) + self.assertEqual(len(wrs), 0) + + def test_way_relation_split_use_correct_ids(self): + wayRelation = WayRelation(mockOSMWay_01_01_LongCurvy) + + wrs = wayRelation.split(wayRelation._nodes_ids[5], [-100, -200]) + self.assertEqual(wrs[0].wr_id, -100) + self.assertEqual(wrs[1].wr_id, -200) + + def test_way_relation_split_on_edge_node(self): + wayRelation = WayRelation(mockOSMWay_01_01_LongCurvy) + edge_node_ids = wayRelation.edge_nodes_ids + + for edge_node_id in edge_node_ids: + wrs = wayRelation.split(edge_node_id) + self.assertEqual(len(wrs), 1) + self.assertEqual(wrs[0], wayRelation) + self.assertEqual(wrs[0].way.tags, wayRelation.way.tags) + + def test_way_relation_split_on_internal_node(self): + wayRelation = WayRelation(mockOSMWay_01_01_LongCurvy) + way_ids = [-10, -20] + + for idx, node_id in enumerate(wayRelation._nodes_ids): + if idx == 0 or idx == len(wayRelation._nodes_ids) - 1: + continue + wrs = wayRelation.split(node_id, way_ids) + self.assertEqual(len(wrs), 2) + assert_array_almost_equal(wrs[0]._nodes_ids, wayRelation._nodes_ids[:idx + 1]) + assert_array_almost_equal(wrs[1]._nodes_ids, wayRelation._nodes_ids[idx:]) + self.assertIn(node_id, wrs[0].edge_nodes_ids) + self.assertIn(node_id, wrs[1].edge_nodes_ids) + self.assertEqual(wrs[0].way.tags, wayRelation.way.tags) + self.assertEqual(wrs[1].way.tags, wayRelation.way.tags) + self.assertEqual(way_ids, [wr.wr_id for wr in wrs]) + + # Helpers + def make_wayRelation_location_dirty(self, wayRelation): + wayRelation.distance_to_node_ahead = 10. + wayRelation.location_rad = 0.8 + wayRelation.bearing_rad = 2. + wayRelation.active = True + wayRelation.diverting = True + wayRelation.ahead_idx = 5 + wayRelation.behind_idx = 4 + wayRelation._active_bearing_delta = 3. + wayRelation._distance_to_way = 20. + + def assert_wayRelation_variables_reset(self, wayRelation): + self.assertEqual(wayRelation.distance_to_node_ahead, 0.) + self.assertIsNone(wayRelation.location_rad) + self.assertIsNone(wayRelation.bearing_rad) + self.assertFalse(wayRelation.active) + self.assertFalse(wayRelation.diverting) + self.assertIsNone(wayRelation.ahead_idx) + self.assertIsNone(wayRelation.behind_idx) + self.assertIsNone(wayRelation._active_bearing_delta) + self.assertIsNone(wayRelation._distance_to_way) + + def wayRelation_mid_point_rad(self, wayRelation): + return np.average(wayRelation.bbox, axis=0) diff --git a/selfdrive/mapd/test/test_WayRelationIndex.py b/selfdrive/mapd/test/test_WayRelationIndex.py new file mode 100644 index 00000000000000..d25d857f2ac5e8 --- /dev/null +++ b/selfdrive/mapd/test/test_WayRelationIndex.py @@ -0,0 +1,74 @@ +import unittest +from openpilot.selfdrive.mapd.lib.WayRelationIndex import WayRelationIndex +from openpilot.selfdrive.mapd.test.mock_data import mockWayCollection01 + + +class TestWayRelationIndex(unittest.TestCase): + def test_init_and_add(self): + wrs = mockWayCollection01.way_relations + wr_index = WayRelationIndex(wrs) + + # expected init logic, including add logic. + edge_nodes_index_dict = {} + full_nodes_index_dict = {} + for wr in wrs: + for node in wr.way.nodes: + node_id = node.id + full_nodes_index_dict[node_id] = full_nodes_index_dict.get(node_id, []) + [wr] + if node_id in wr.edge_nodes_ids: + edge_nodes_index_dict[node_id] = edge_nodes_index_dict.get(node_id, []) + [wr] + + # assert logic delivers same result + self.assertDictEqual(edge_nodes_index_dict, wr_index._edge_nodes_index_dict) + self.assertDictEqual(full_nodes_index_dict, wr_index._full_nodes_index_dict) + self.assertEqual(len(wr_index._edge_nodes_index_dict), 586) + self.assertEqual(len(wr_index._full_nodes_index_dict), 2342) + + def test_remove(self): + wrs = mockWayCollection01.way_relations + wr_index = WayRelationIndex(wrs) + + wr_to_remove = wrs[0] + affected_full_node_ids = [nodesData.id for nodesData in wr_to_remove.way.nodes] + affected_edge_node_ids = wr_to_remove.edge_nodes_ids + + initial_full_lists = [wr_index._full_nodes_index_dict[ndid] for ndid in affected_full_node_ids] + initial_edge_lists = [wr_index._edge_nodes_index_dict[ndid] for ndid in affected_edge_node_ids] + + expected_final_full_lists = [[wr for wr in li if wr is not wr_to_remove] for li in initial_full_lists] + expected_final_edge_lists = [[wr for wr in li if wr is not wr_to_remove] for li in initial_edge_lists] + + wr_index.remove(wr_to_remove) + + final_full_lists = [wr_index._full_nodes_index_dict[ndid] for ndid in affected_full_node_ids] + final_edge_lists = [wr_index._edge_nodes_index_dict[ndid] for ndid in affected_edge_node_ids] + + for idx, li in enumerate(final_full_lists): + self.assertListEqual(li, expected_final_full_lists[idx]) + + for idx, li in enumerate(final_edge_lists): + self.assertListEqual(li, expected_final_edge_lists[idx]) + + def test_way_relations_with_edge_node_id(self): + wr_index = WayRelationIndex([]) + ref_dict = { + 0: ["fake_wr1", "fake_wr2"], + 1: ["fake_wr3"], + 3: ["fake_wr4", "fake_wr5", "fake_wr6"], + } + wr_index._edge_nodes_index_dict = ref_dict + + for key, li in ref_dict.items(): + self.assertListEqual(li, wr_index.way_relations_with_edge_node_id(key)) + + def test_way_relations_with_node_id(self): + wr_index = WayRelationIndex([]) + ref_dict = { + 0: ["fake_wr1", "fake_wr2"], + 1: ["fake_wr3"], + 3: ["fake_wr4", "fake_wr5", "fake_wr6"], + } + wr_index._full_nodes_index_dict = ref_dict + + for key, li in ref_dict.items(): + self.assertListEqual(li, wr_index.way_relations_with_node_id(key)) diff --git a/selfdrive/mapd/test/test_geo.py b/selfdrive/mapd/test/test_geo.py new file mode 100644 index 00000000000000..01f802b142bc0d --- /dev/null +++ b/selfdrive/mapd/test/test_geo.py @@ -0,0 +1,234 @@ +import unittest +from openpilot.selfdrive.mapd.lib.geo import vectors, ref_vectors, bearing_to_points, distance_to_points +import numpy as np +from numpy.testing import assert_array_almost_equal +from openpilot.selfdrive.mapd.test.mock_data import mockNodesData01 + + +class TestMapsdGeoLibrary(unittest.TestCase): + def test_vectors(self): + points = mockNodesData01.radians + expected = np.array([ + [-1.34011951e-05, 1.00776468e-05], + [-5.83610920e-06, 4.41046897e-06], + [-7.83348567e-06, 5.94114032e-06], + [-7.08560788e-06, 5.30408795e-06], + [-6.57632550e-06, 4.05791838e-06], + [-1.16077872e-06, 6.91151252e-07], + [-1.53178098e-05, 9.62215139e-06], + [-5.76314175e-06, 3.55176643e-06], + [-1.61124141e-05, 9.86127759e-06], + [-1.48006628e-05, 8.58192512e-06], + [-1.72237209e-06, 1.60570482e-06], + [-8.68985228e-06, 9.22062311e-06], + [-1.42922812e-06, 1.51494711e-06], + [-3.39761486e-06, 2.57087743e-06], + [-2.75467373e-06, 1.28631255e-06], + [-1.57501989e-05, 5.72309451e-06], + [-2.52143954e-06, 1.34565295e-06], + [-1.65278643e-06, 1.28630942e-06], + [-2.22196114e-05, 1.64360838e-05], + [-5.88675934e-06, 4.08234746e-06], + [-1.83673390e-06, 1.46782408e-06], + [-1.55004206e-06, 1.51843800e-06], + [-1.20451533e-06, 2.06298011e-06], + [-1.91801338e-06, 4.64083285e-06], + [-2.38653483e-06, 5.60076524e-06], + [-1.65269781e-06, 5.78402290e-06], + [-3.66908309e-07, 2.75412965e-06], + [0.00000000e+00, 1.92858882e-06], + [9.09242615e-08, 2.66162711e-06], + [3.14490354e-07, 1.53065382e-06], + [8.66452477e-08, 4.83456208e-07], + [2.41750593e-07, 1.10828411e-06], + [7.43745228e-06, 1.27618831e-05], + [5.59968054e-06, 9.63947367e-06], + [2.01951467e-06, 2.75413219e-06], + [4.59952643e-07, 6.42281301e-07], + [1.74353749e-06, 1.74533121e-06], + [2.57144338e-06, 2.11185266e-06], + [1.46893187e-05, 1.11999169e-05], + [3.84659229e-05, 2.85527952e-05], + [2.71627936e-05, 1.98727946e-05], + [8.44632540e-06, 6.15058628e-06], + [2.29420323e-06, 1.92859222e-06], + [2.58083439e-06, 3.16952222e-06], + [3.76373643e-06, 5.14174911e-06], + [5.32416098e-06, 6.51707770e-06], + [8.62890928e-06, 1.11998258e-05], + [1.25762497e-05, 1.65231340e-05], + [8.90452991e-06, 1.10148240e-05], + [4.86505726e-06, 4.59023120e-06], + [3.85545276e-06, 3.39642031e-06], + [3.48753893e-06, 3.30566145e-06], + [2.99557303e-06, 2.61276368e-06], + [2.15496788e-06, 1.87797727e-06], + [4.10564937e-06, 3.58142649e-06], + [1.53680853e-06, 1.33866906e-06], + [4.99540175e-06, 4.35635790e-06], + [1.37744970e-06, 1.19380643e-06], + [1.74319821e-06, 1.28456429e-06], + [9.99931238e-07, 1.14493663e-06], + [6.42735560e-07, 1.19380547e-06], + [3.66818436e-07, 1.46782199e-06], + [5.45413874e-08, 1.83783170e-06], + [-1.35818548e-07, 1.14842666e-06], + [-5.50758101e-07, 3.02989178e-06], + [-4.58785270e-07, 2.66162724e-06], + [-2.51315555e-07, 1.19031459e-06], + [-3.91409773e-07, 1.65457223e-06], + [-2.14525206e-06, 5.67755902e-06], + [-4.24558096e-07, 1.39102753e-06], + [-1.46936730e-06, 5.32325561e-06], + [-1.37632061e-06, 4.59021715e-06], + [-8.26642899e-07, 4.68097349e-06], + [-6.42702724e-07, 4.95673534e-06], + [-3.66796960e-07, 7.25009780e-06], + [-1.82861669e-07, 8.99542699e-06], + [4.09564134e-07, 6.11214315e-06], + [7.80629912e-08, 1.45734993e-06], + [4.81205526e-07, 7.56076647e-06], + [2.01036346e-07, 2.42775302e-06]]) + + v = vectors(points) + assert_array_almost_equal(v, expected) + + def test_ref_vectors(self): + points = mockNodesData01.radians + expected = np.array([ + [1.59924145e-04, -1.07153714e-04], + [1.46520873e-04, -9.70788297e-05], + [1.40683931e-04, -9.26694631e-05], + [1.32849368e-04, -8.67297434e-05], + [1.25762852e-04, -8.14268689e-05], + [1.19185869e-04, -7.73700167e-05], + [1.18024984e-04, -7.66790438e-05], + [1.02705711e-04, -6.70592230e-05], + [9.69420991e-05, -6.35082196e-05], + [8.08284530e-05, -5.36489556e-05], + [6.60268961e-05, -4.50685727e-05], + [6.43043874e-05, -4.34630144e-05], + [5.56137708e-05, -3.42431117e-05], + [5.41844341e-05, -3.27282671e-05], + [5.07866397e-05, -3.01576270e-05], + [4.80318817e-05, -2.88714948e-05], + [3.22813286e-05, -2.31493755e-05], + [2.97598330e-05, -2.18038275e-05], + [2.81069973e-05, -2.05175815e-05], + [5.88679032e-06, -4.08230278e-06], + [0.00000000e+00, 0.00000000e+00], + [-1.83673390e-06, 1.46782408e-06], + [-3.38677236e-06, 2.98626574e-06], + [-4.59127869e-06, 5.04925111e-06], + [-6.50926460e-06, 9.69009532e-06], + [-8.89575243e-06, 1.52908806e-05], + [-1.05483839e-05, 2.10749224e-05], + [-1.09152548e-05, 2.38290571e-05], + [-1.09152276e-05, 2.57576459e-05], + [-1.08242659e-05, 2.84192717e-05], + [-1.05097542e-05, 2.99499212e-05], + [-1.04231024e-05, 3.04333762e-05], + [-1.01813369e-05, 3.15416571e-05], + [-2.74371711e-06, 4.43034426e-05], + [2.85599752e-06, 5.39428964e-05], + [4.87550206e-06, 5.66970360e-05], + [5.33545066e-06, 5.73393202e-05], + [7.07897615e-06, 5.90846634e-05], + [9.65040026e-06, 6.11965396e-05], + [2.43395796e-05, 7.23966392e-05], + [6.28046063e-05, 1.00950641e-04], + [8.99657904e-05, 1.20825635e-04], + [9.84114021e-05, 1.26977201e-04], + [1.00705361e-04, 1.28906084e-04], + [1.03285783e-04, 1.32075942e-04], + [1.07048835e-04, 1.37218192e-04], + [1.12372096e-04, 1.43736004e-04], + [1.20999382e-04, 1.54937080e-04], + [1.33573053e-04, 1.71462176e-04], + [1.42475686e-04, 1.82478533e-04], + [1.47339899e-04, 1.87069658e-04], + [1.51194707e-04, 1.90466811e-04], + [1.54681601e-04, 1.93773152e-04], + [1.57676653e-04, 1.96386513e-04], + [1.59831239e-04, 1.98264929e-04], + [1.63936150e-04, 2.01847201e-04], + [1.65472675e-04, 2.03186195e-04], + [1.70467147e-04, 2.07543619e-04], + [1.71844334e-04, 2.08737728e-04], + [1.73587247e-04, 2.10022678e-04], + [1.74586922e-04, 2.11167839e-04], + [1.75229389e-04, 2.12361789e-04], + [1.75595876e-04, 2.13829694e-04], + [1.75650001e-04, 2.15667538e-04], + [1.75513922e-04, 2.16815933e-04], + [1.74962478e-04, 2.19845700e-04], + [1.74503092e-04, 2.22507224e-04], + [1.74251509e-04, 2.23697482e-04], + [1.73859727e-04, 2.25351966e-04], + [1.71713202e-04, 2.31029044e-04], + [1.71288336e-04, 2.32419977e-04], + [1.69817793e-04, 2.37742908e-04], + [1.68440467e-04, 2.42332824e-04], + [1.67612807e-04, 2.47013617e-04], + [1.66969033e-04, 2.51970213e-04], + [1.66600674e-04, 2.59220232e-04], + [1.66415880e-04, 2.68215619e-04], + [1.66824132e-04, 2.74327850e-04], + [1.66901881e-04, 2.75785216e-04], + [1.67381459e-04, 2.83346086e-04], + [1.67581971e-04, 2.85773882e-04]]) + + v = ref_vectors(points[20], points) + assert_array_almost_equal(v, expected) + + def test_bearing_to_points(self): + points = mockNodesData01.radians + expected = np.array([ + 2.16112265, 2.15595027, 2.15326799, 2.14916735, 2.14538642, + 2.14657678, 2.14694997, 2.1492257, 2.1507589, 2.15676899, + 2.16973441, 2.1651606, 2.12270237, 2.11416356, 2.10665211, + 2.11201708, 2.19291574, 2.2031069, 2.20136186, 2.17712517, + 0., -0.8965745, -0.84815954, -0.73792895, -0.59150953, + -0.5269061, -0.46406215, -0.42954043, -0.4008254, -0.36391371, + -0.33748609, -0.32996807, -0.31223189, -0.06185112, 0.05289544, + 0.08578116, 0.0927833, 0.11924233, 0.15640718, 0.32432622, + 0.55653415, 0.64003094, 0.6593301, 0.66319086, 0.66367982, + 0.66251077, 0.66354137, 0.66302176, 0.66181884, 0.66291139, + 0.66714676, 0.67095594, 0.67367984, 0.6765003, 0.67847961, + 0.68212344, 0.68345356, 0.68762778, 0.68876073, 0.69070183, + 0.69085143, 0.68988665, 0.68753177, 0.68348884, 0.68051081, + 0.67220053, 0.66506824, 0.66177969, 0.65712162, 0.63916951, + 0.6351146, 0.62025347, 0.60741567, 0.59618923, 0.58521935, + 0.57122582, 0.55532475, 0.54636839, 0.54422542, 0.53357655, + 0.53037033]) + + v = bearing_to_points(points[20], points) + assert_array_almost_equal(v, expected) + + def test_distance_to_points(self): + points = mockNodesData01.radians + expected = np.array([ + 1226.82569068, 1120.13820773, 1073.61121415, 1011.10016574, + 954.81557436, 905.58045038, 896.97734399, 781.7102819, + 738.58271117, 618.26145463, 509.47052142, 494.6403804, + 416.22483123, 403.42108699, 376.42615499, 357.15106681, + 253.15957483, 235.11572972, 221.77439728, 45.65465979, + 0., 14.98414, 28.77606056, 43.49299446, + 74.39463425, 112.74005248, 150.19482607, 167.03665191, + 178.28443483, 193.80834084, 202.28154097, 205.01173833, + 211.22777104, 282.88676739, 344.25957352, 362.66370657, + 367.00206795, 379.23951996, 394.82505328, 486.76073331, + 757.70254732, 960.03439155, 1023.81434529, 1042.49401713, + 1068.53770096, 1109.12696535, 1162.74555108, 1252.847351, + 1385.17179405, 1475.42502599, 1517.57849916, 1549.79838056, + 1580.12405964, 1605.05483058, 1622.98937809, 1657.19268821, + 1669.99157205, 1711.63883132, 1723.09133393, 1736.47655688, + 1746.16073119, 1754.63481838, 1763.34186103, 1772.62691273, + 1777.76189094, 1790.62024447, 1802.11488235, 1807.1040605, + 1813.90756815, 1834.49265566, 1840.00708445, 1861.96087374, + 1880.81678093, 1902.42091191, 1926.37194131, 1963.78301115, + 2011.62679077, 2046.18028824, 2054.37811294, 2097.30347724, + 2111.28586072]) + + v = distance_to_points(points[20], points) + assert_array_almost_equal(v, expected) diff --git a/selfdrive/ui/qt/onroad.cc b/selfdrive/ui/qt/onroad.cc index e961e7edcff759..ef9f124848fef5 100644 --- a/selfdrive/ui/qt/onroad.cc +++ b/selfdrive/ui/qt/onroad.cc @@ -5,6 +5,7 @@ #include #include #include +#include #include #include @@ -276,6 +277,7 @@ AnnotatedCameraWidget::AnnotatedCameraWidget(VisionStreamType type, QWidget* par dm_img = loadPixmap("../assets/img_driver_face.png", {img_size + 5, img_size + 5}); how_img = loadPixmap("../assets/img_hands_on_wheel.png", {img_size, img_size}); + map_img = loadPixmap("../assets/img_world_icon.png", {subsign_img_size, subsign_img_size}); } void AnnotatedCameraWidget::updateState(const UIState &s) { @@ -335,6 +337,13 @@ void AnnotatedCameraWidget::updateState(const UIState &s) { vtcColor.setAlpha(lpSoruce == cereal::LongitudinalPlan::LongitudinalPlanSource::TURN ? 255 : 100); showDebugUI = s.scene.show_debug_ui; + const auto lmd = sm["liveMapData"].getLiveMapData(); + const uint64_t lmd_fix_time = lmd.getLastGpsTimestamp(); + const uint64_t current_ts = std::chrono::duration_cast + (std::chrono::system_clock::now().time_since_epoch()).count(); + const bool show_road_name = current_ts - lmd_fix_time < 10000; // hide if fix older than 10s + roadName = show_road_name ? QString::fromStdString(lmd.getCurrentRoadName()) : ""; + // DM icon transition dm_fade_state = std::clamp(dm_fade_state+0.2*(0.5-dmActive), 0.0, 1.0); @@ -445,6 +454,15 @@ void AnnotatedCameraWidget::drawHud(QPainter &p) { vtcColor, vtcSpeed, 100); } + // Bottom bar road name + if (showDebugUI && !roadName.isEmpty()) { + const int h = 60; + QRect bar_rc(rect().left(), rect().bottom() - h, rect().width(), h); + p.setBrush(QColor(0, 0, 0, 100)); + p.drawRect(bar_rc); + p.setFont(InterFont(28, QFont::Bold)); + drawCenteredText(p, bar_rc.center().x(), bar_rc.center().y(), roadName, QColor(255, 255, 255, 200)); + } p.restore(); } diff --git a/selfdrive/ui/qt/onroad.h b/selfdrive/ui/qt/onroad.h index 594880066469a0..8bae45e48e4915 100644 --- a/selfdrive/ui/qt/onroad.h +++ b/selfdrive/ui/qt/onroad.h @@ -74,6 +74,8 @@ class AnnotatedCameraWidget : public CameraWidget { Q_PROPERTY(QColor vtcColor MEMBER vtcColor); Q_PROPERTY(bool showDebugUI MEMBER showDebugUI); + Q_PROPERTY(QString roadName MEMBER roadName); + public: explicit AnnotatedCameraWidget(VisionStreamType type, QWidget* parent = 0); void updateState(const UIState &s); @@ -90,7 +92,9 @@ class AnnotatedCameraWidget : public CameraWidget { ExperimentalButton *experimental_btn; QPixmap dm_img; QPixmap how_img; + QPixmap map_img; float speed; + const int subsign_img_size = 35; QString speedUnit; float setSpeed; float speedLimit; @@ -117,6 +121,8 @@ class AnnotatedCameraWidget : public CameraWidget { QColor vtcColor; bool showDebugUI = false; + + QString roadName; protected: void paintGL() override; diff --git a/selfdrive/ui/ui.cc b/selfdrive/ui/ui.cc index 1af819900c5e9d..886607b5606006 100644 --- a/selfdrive/ui/ui.cc +++ b/selfdrive/ui/ui.cc @@ -242,7 +242,7 @@ UIState::UIState(QObject *parent) : QObject(parent) { sm = std::make_unique>({ "modelV2", "controlsState", "liveCalibration", "radarState", "deviceState", "roadCameraState", "pandaStates", "carParams", "driverMonitoringState", "carState", "liveLocationKalman", "driverStateV2", - "wideRoadCameraState", "managerState", "navInstruction", "navRoute", "uiPlan", "longitudinalPlan", + "wideRoadCameraState", "managerState", "navInstruction", "navRoute", "uiPlan", "longitudinalPlan", "liveMapData", }); Params params;