A unified framework for detecting perception anomalies in autonomous driving systems is described. The perception anomaly detection framework takes an input image from a camera in or on a vehicle and identifies anomalies as belonging to one of three categories. Lens anomalies are associated with poor sensor conditions, such as water, dirt, or overexposure. Environment anomalies are associated with unfamiliar changes to an environment. Finally, object anomalies are associated with unknown objects. After perception anomalies are detected, the results are sent downstream to cause a behavior change of the vehicle.


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    Title :

    PERCEPTION ANOMALY DETECTION FOR AUTONOMOUS DRIVING


    Contributors:
    SHA LONG (author) / ZHANG JUNLIANG (author) / GE RUNDONG (author) / ZHAO XIANGCHEN (author) / ZHANG FANGJUN (author) / ZHAO YIZHE (author) / WANG PANQU (author)

    Publication date :

    2025-02-06


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06V / 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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