A method includes receiving sensed vehicle state data, actuation command data, and surface coefficient data from a plurality of remote vehicles; inputting the sensed vehicle state data, the actuation command data, and the surface coefficient data into a self-supervised recurrent neural network (RNN) to predict a vehicle state of the host vehicle in a plurality of driving scenarios; and commanding the host vehicle to autonomously move according to a trajectory determined using the vehicle state predicted using the self-supervised RNN.

    一种方法包括:从多个远程车辆接收感测到的车辆状态数据、致动命令数据和表面系数数据;将所述感测到的车辆状态数据、所述致动命令数据和所述表面系数数据输入到自监督递归神经网络(RNN)中,以在多个驾驶场景中预测主车辆的车辆状态;以及命令所述主车辆根据使用自监督RNN预测的车辆状态确定的轨迹自主地移动。


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    Titel :

    Unified self-supervised learnable vehicle motion control strategy


    Weitere Titelangaben:

    一种统一的自监督可学习车辆运动控制策略


    Beteiligte:
    ZENG SHUQING (Autor:in) / ZHANG YUBIAO (Autor:in) / LITKOUHI BAKHTIAR B (Autor:in)

    Erscheinungsdatum :

    26.04.2024


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    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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