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.


    Access

    Download


    Export, share and cite



    Title :

    Trajectory generation using road network model


    Contributors:

    Publication date :

    2024-03-20


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    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 Using Road Network Model

    BEAUDOIN ROBERT / WOLFF ERIC | European Patent Office | 2022

    Free access

    Trajectory generation for road vehicle obstacle avoidance using convex optimization

    Bevan, G.P. / Gollee, H. / O'Reilly, J. | Tema Archive | 2010


    Trajectory generation for road vehicle obstacle avoidance using convex optimization

    Bevan,G.P. / Gollee,H. / OReilly,J. et al. | Automotive engineering | 2010



    Trajectory generation for road vehicle obstacle avoidance using convex optimization

    Bevan, G P / Gollee, H / O'Reilly, J | SAGE Publications | 2010