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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    Title :

    Off-Road Trajectory Planning Method Based on Human Driving Knowledge


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Liu, Lianqing (editor) / Niu, Yifeng (editor) / Fu, Wenxing (editor) / Qu, Yi (editor) / Di, Wang (author) / Ziye, Zhao (author) / Nan, Xiang (author) / Chenxu, Zhang (author)

    Conference:

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



    Publication date :

    2025-04-12


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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