In one embodiment, a system determines a target lane for an autonomous driving vehicle (ADV) to change lanes from a current lane to the target lane. The system determines obstacles information for one or more obstacles surrounding the ADV from sensor data. The system determines vehicle information of the ADV including a speed of the ADV. The system applies a reinforcement learning (RL) model to the obstacles and vehicle information of the ADV to generate an action for the ADV, where the action includes an acceleration/deceleration value and a steering angle value. The system controls the ADV to perform the lane change from the current lane to the target lane by executing the action.


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    Title :

    REINFORCEMENT LEARNING FOR AUTONOMOUS LANE CHANGE


    Contributors:
    SHI ZHAN (author) / JIANG YIFEI (author) / LI ANG (author)

    Publication date :

    2024-05-16


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    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 / G05B Steuer- oder Regelsysteme allgemein , CONTROL OR REGULATING SYSTEMS IN GENERAL



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