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dragonpilot/selfdrive/mapd/lib/WayCollection.py
Vehicle Researcher 634aa84919 lp-dp 2023-09-13T13:36:48 for EON/C2
version: lp-dp v0.9.5 for EON/C2
date: 2023-09-13T13:36:48
commit: 1d59b81c40b93f37d4a341c5d35b1c3cd293543d
2023-09-13 13:36:57 +08:00

86 lines
3.8 KiB
Python

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. prefere motorways over other roads and so on. This is to prevent selecting a small paralel
# 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)