The present disclosure generally relates to autonomous vehicle (AV) navigation and, more specifically, to improving AV determinations regarding when to yield to other vehicles (entities) in various driving scenarios. In some aspects, a process of the disclosed technology includes steps for receiving road data comprising sensor data collected by an autonomous vehicle (AV), extracting trajectory data from the road data, for each of the one or more entities, and providing the trajectory data to a machine-learning (ML) model, wherein the ML model is trained to generate a yield prediction for each of the one or more entities. In some aspects, the process can further include steps for determining a path for the AV based on the yield prediction for each of the one or more entities. Systems and machine-readable media are also provided.


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    Titel :

    YIELD PREDICTION MODEL TO COMPUTE AUTONOMOUS VEHICLE TRAJECTORIES


    Beteiligte:
    CUI CAN (Autor:in) / KATUKOJWALA PRATHYUSH (Autor:in) / GAO FEI (Autor:in)

    Erscheinungsdatum :

    19.09.2024


    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



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