Aiming at the problem of low traffic efficiency of unmanned vehicles caused by complex characteristics in off-road environment, this paper combines the knowledge of human-like driving vehicles, designs a trajectory planning method based on human driving prior knowledge, combines environmental perception data, realizes efficient path planning of unstructured roads in off-road environment, and compares it with the method based on LSTM. The results show that the proposed method is more accurate than the LSTM-based path planning method.


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    Titel :

    Off-Road Trajectory Planning Method Based on Human Driving Knowledge


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Liu, Lianqing (Herausgeber:in) / Niu, Yifeng (Herausgeber:in) / Fu, Wenxing (Herausgeber:in) / Qu, Yi (Herausgeber:in) / Di, Wang (Autor:in) / Ziye, Zhao (Autor:in) / Nan, Xiang (Autor:in) / Chenxu, Zhang (Autor:in)

    Kongress:

    International Conference on Autonomous Unmanned Systems ; 2024 ; Shenyang, China September 19, 2024 - September 21, 2024



    Erscheinungsdatum :

    12.04.2025


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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