The system perceives an environment of an autonomous driving vehicle (ADV) based on a plurality of sensors and map data. The system determines that an obstacle in the perceived environment is a moving vehicle, and that the moving vehicle is to a left lane, to a right lane, or in front of the ADV. The system uses a neural network model to infer the obstacle to determine whether the behavior of the obstacle is abnormal. The system determines that the obstacle is abnormal based on the performed reasoning.

    系统基于多个传感器和地图数据感知自主驾驶车辆(ADV)的环境。系统确定所感知的环境中的障碍物是移动车辆,以及所述移动车辆是至左侧车道、至右侧车道、或在ADV前方。系统使用神经网络模型对障碍物进行推理,以确定障碍物的行为是否异常。系统基于所执行的推理确定障碍物是异常的。


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    Title :

    Security enhanced planning system with anomaly detection for autonomous vehicles


    Additional title:

    用于自主车辆的具有异常检测的安全增强规划系统


    Contributors:
    JIANG SHU (author) / WU SIHAO (author) / LIU HAO (author) / CAO YU (author) / LIN WEIMAN (author) / PAN HAILUN (author)

    Publication date :

    2023-09-01


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    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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