Enclosed are embodiments for trajectory generation using a road network model. In an embodiment, a method includes: obtaining, using at least one processor of a vehicle, a location of the vehicle; obtaining, using the at least one processor, sensor data collected at the location; obtaining, using the at least one processor, map data for the location; generating, using the one or more processors, at least on possible trajectory for at least one object at the location, wherein the possible trajectory is constrained in accordance with the map data; and predicting, using a machine learning model, a score for the at least one trajectory.
Trajectory generation using road network model
2024-03-20
Patent
Electronic Resource
English
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen |
Trajectory generation for road vehicle obstacle avoidance using convex optimization
Tema Archive | 2010
|Trajectory generation for road vehicle obstacle avoidance using convex optimization
Automotive engineering | 2010
|Trajectory generation for road vehicle obstacle avoidance using convex optimization
Online Contents | 2010
|Trajectory generation for road vehicle obstacle avoidance using convex optimization
SAGE Publications | 2010
|