An adaptive processing method for new scenes in autonomous driving, comprising: obtaining scene data corresponding to new scene of vehicle driving, wherein the scene data describes vehicles state and driving operations in the new scene; obtaining a test set of the new scene based on processing the scene data by a preset distribution; updating parameters of a pre-training model by inputting the test set, and obtaining a scene model adapted to the new scene based on gradient iteration of general model parameters of the pre-training model, wherein the scene model is configured to output an autonomous driving strategy for the vehicle in the new scene. Therefore, the autonomous driving vehicle transforms a new scene to a known scene, and no longer be troubled by unpredictable new scenes, and greatly enhance the reliability and stability of autonomous driving.


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    Titel :

    ADAPTIVE PROCESSING METHOD FOR NEW SCENES IN AUTONOMOUS DRIVING, AUTONOMOUS DRIVING METHOD AND SYSTEM


    Beteiligte:
    ZHANG JIUCAI (Autor:in) / WANG YI (Autor:in)

    Erscheinungsdatum :

    2022-12-29


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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