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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    Title :

    VEHICLE LIGHT CLASSIFICATION SYSTEM


    Contributors:
    XIA FEI (author) / WU BING (author) / LEE DAVID (author) / GUO ZIJIAN (author)

    Publication date :

    2023-05-25


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English



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