Systems and methods for a hybrid motion planner for autonomous vehicles. A multi-lane intelligent driver model (MIDM) can predict trajectory predictions from collected data by considering adjacent lanes of an ego vehicle. A multi-lane hybrid planning driver model (MPDM) can be trained using open-loop ground truth data and close-loop simulations to obtain a trained MPDM. The trained MPDM can predict planned trajectories with collected data and the trajectory predictions to generate final trajectories for the autonomous vehicles. The final trajectories can be employed to control the autonomous vehicles.


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    Titel :

    HYBRID MOTION PLANNER FOR AUTONOMOUS VEHICLES


    Beteiligte:
    LIU BUYU (Autor:in) / PITTALUGA FRANCESCO (Autor:in) / ZHUANG BINGBING (Autor:in) / CHANDRAKER MANMOHAN (Autor:in) / SOHN SAMUEL (Autor:in)

    Erscheinungsdatum :

    10.04.2025


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    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 / G05B Steuer- oder Regelsysteme allgemein , CONTROL OR REGULATING SYSTEMS IN GENERAL



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