Source code for promis.logic.spatial.enters

#
# Copyright (c) Simon Kohaut, Honda Research Institute Europe GmbH, Felix Divo, and contributors
#
# This file is part of ProMis and licensed under the BSD 3-Clause License.
# You should have received a copy of the BSD 3-Clause License along with ProMis.
# If not, see https://opensource.org/license/bsd-3-clause/.
#

# Third Party
import numpy as np
from shapely import points
from shapely.strtree import STRtree

# ProMis
from promis.geo import CartesianCollection

from .relation import Relation


[docs] class Enters(Relation): """A probabilistic relation that checks if a point to point transition "enters" a map feature. This relation is true if a given location is outside but transitions into any of the geometries of a specific type on the map. The probability is derived from a set of sample maps. """
[docs] @staticmethod def compute_relation( collection: CartesianCollection, r_tree: STRtree, original_geometries: list ) -> list[float]: coords = collection.coordinates() end_coords = coords + collection.transitions()[:, :2] starts = points(coords) ends = points(end_coords) starts_inside = np.zeros(len(coords), dtype=bool) ends_inside = np.zeros(len(coords), dtype=bool) start_hits = r_tree.query(starts, predicate="within") if start_hits.size > 0: starts_inside[start_hits[0]] = True end_hits = r_tree.query(ends, predicate="within") if end_hits.size > 0: ends_inside[end_hits[0]] = True return (~starts_inside & ends_inside).astype(float)
[docs] @staticmethod def empty_map_parameters() -> list[float]: return [0.0, 0.0]