In this paper, a hierarchical motion planning framework is proposed to solve complex navigation problem in realistic dynamic traffic environments. Firstly, according to the possible collision risk in the lane changing process, a safe lane-changing (LC) model with consideration of the emergency braking of the preceding car is established. Then a straight-line approximation method is proposed to convert the nonlinear constraints into linear constraints, which effectively improves the solution efficiency. Secondly, the quintic B-spline curve method and the quadratic programming (QP) method are integrated to screen out the optimal LC trajectory, with consideration of driving safety, traveling comfort and efficiency. Thirdly, a decision-making strategy is proposed to decide whether the trajectory should be re-planned according to the real-time prediction of the surrounding environments, and decide the optimal lane. Finally, a model predictive control (MPC) path tracker is proposed to track the planned trajectory. The CarSim-Simulink joint simulation verify the effectiveness of the proposed motion planning framework.


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    Titel :

    Hierarchical motion planning system with consideration of the dynamic lane-changing behaviour


    Beteiligte:
    Peng, Lin (Autor:in) / Yan, Yongjun (Autor:in) / Wang, Jinxiang (Autor:in) / Han, Dongming (Autor:in) / Yao, Yicheng (Autor:in) / Yin, Guodong (Autor:in)


    Erscheinungsdatum :

    08.10.2022


    Format / Umfang :

    241939 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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