The present disclosure generally relates to autonomous vehicle (AV) prediction systems and in particular, to novel methods for training a prediction layer of the AV software stack. In some aspects, the disclosure can provide a process for receiving road data representing a plurality of entities, predicting, using a prediction layer of an autonomous vehicle (AV), a first set of future trajectories for one or more of the plurality of entities, and predicting, using a kinematics model, a second set of future trajectories for one or more of the plurality of entities. In some approaches, the process can further include steps for flagging one or more instances in the road data for which the first set of future trajectories is less accurate than the second set of future trajectories. Systems and machine-readable media are also provided.


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    Title :

    DYNAMICALLY WEIGHTING TRAINING DATA USING KINEMATIC COMPARISON


    Contributors:
    LAZAROVICI ALLAN (author) / XIE BO (author) / ELKHERJ MATTHEW (author)

    Publication date :

    2024-09-26


    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



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