The described aspects and implementations enable vehicle light classification in autonomous vehicle (AV) applications. In one implementation, disclosed is a method and a system to perform the method that includes, obtaining, by a processing device, first image data characterizing a driving environment of an autonomous vehicle (AV). The processing device may identify, based on the image data, a vehicle within the driving environment. The processing device may process the image data using one or more trained machine-learning models (MLMs) to determine a state of one or more lights of the vehicle and cause an update to a driving path of the AV based on the determined state of the lights.


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    Titel :

    VEHICLE LIGHT CLASSIFICATION SYSTEM


    Beteiligte:
    XIA FEI (Autor:in) / WU BING (Autor:in) / LEE DAVID (Autor:in) / GUO ZIJIAN (Autor:in)

    Erscheinungsdatum :

    2023-05-25


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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