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86 lines
3.7 KiB
Python
86 lines
3.7 KiB
Python
from selfdrive.mapd.lib.dp_way_relation import DPWayRelation as WayRelation
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from selfdrive.mapd.lib.dp_route import DPRoute as Route
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import uuid
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_ACCEPTABLE_BEARING_DELTA_IND = 0.7071067811865475 # sin(pi/4) | 45 degrees acceptable bearing delta
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class WayCollection():
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"""A collection of WayRelations to use for maps data analysis.
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"""
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def __init__(self, ways, query_center):
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"""Creates a WayCollection with a set of OSM way objects.
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Args:
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ways (Array): Collection of Way objects fetched from OSM in a radius around `query_center`
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query_center (Numpy Array): [lat, lon] numpy array in radians indicating the center of the data query.
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"""
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self.id = uuid.uuid4()
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self.way_relations = [WayRelation(way) for way in ways]
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self.query_center = query_center
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# Create the index by edge node ids.
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self.wr_index = {}
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for wr in self.way_relations:
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for node_id in wr.edge_nodes_ids:
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self.wr_index[node_id] = self.wr_index.get(node_id, []) + [wr]
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def get_route(self, location_rad, bearing_rad, accuracy):
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"""Provides the best route found in the way collection based on current location and bearing.
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"""
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if location_rad is None or bearing_rad is None or accuracy is None:
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return None
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# Update all way relations in collection to the provided location and bearing.
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for wr in self.way_relations:
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wr.update(location_rad, bearing_rad, accuracy)
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# Get the way relations where a match was found. i.e. those now marked as active as long as the direction of
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# travel is valid.
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valid_way_relations = [wr for wr in self.way_relations if wr.active and not wr.is_prohibited]
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# If no active, then we could not find a current way to build a route.
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if len(valid_way_relations) == 0:
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return None
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# If only one valid, then pick it as current.
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if len(valid_way_relations) == 1:
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current = valid_way_relations[0]
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# If more than one is valid, filter out any valid way relation where the bearing delta indicator is too high.
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else:
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wr_acceptable_bearing = list(filter(lambda wr: wr.active_bearing_delta <= _ACCEPTABLE_BEARING_DELTA_IND,
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valid_way_relations))
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# If delta bearing indicator is too high for all, then use as current the one that has the shorter one.
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if len(wr_acceptable_bearing) == 0:
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valid_way_relations.sort(key=lambda wr: wr.active_bearing_delta)
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current = valid_way_relations[0]
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# If only one with acceptable bearing, use it.
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elif len(wr_acceptable_bearing) == 1:
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current = wr_acceptable_bearing[0]
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# If more than one with acceptable bearing, filter the ones with distance to way lower than GPS accuracy.
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else:
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wr_accurate_distance = list(filter(lambda wr: wr.distance_to_way <= accuracy, wr_acceptable_bearing))
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# If none with distance under accuracy, then select the closest to the way
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if len(wr_accurate_distance) == 0:
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wr_acceptable_bearing.sort(key=lambda wr: wr.distance_to_way)
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current = wr_acceptable_bearing[0]
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# If only one with distance under accuracy, select this one.
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elif len(wr_accurate_distance) == 1:
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current = wr_accurate_distance[0]
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# If more than one with distance under accuracy. Then select the one with lowest highway rank.
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# i.e. prefere motorways over other roads and so on. This is to prevent selecting a small paralel
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# road to a main road when the accuracy is poor.
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else:
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wr_accurate_distance.sort(key=lambda wr: wr.highway_rank)
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current = wr_accurate_distance[0]
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return Route(current, self.wr_index, self.id, self.query_center)
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