Autonomous driving is the most important form of automotive intelligent development, and vehicle obstacle avoidance is an important function of the autonomous driving technology. This paper proposed an overtaking obstacle algorithm for autonomous driving based on dynamic trajectory planning, which is mainly composed of dynamic trajectory planning and trajectory tracking control. The Matlab /Simulink and CarSim joint simulation are used to evaluate the effect of autonomous control. The simulation results show that the overtaking obstacle avoidance algorithm can dynamically plan the overtaking trajectory and achieve accurate and stable tracking under different vehicle speed conditions. The whole system is real-time and robust.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An Overtaking Obstacle Algorithm for Autonomous Driving based on Dynamic Trajectory Planning


    Beteiligte:
    Chen, Yizhou (Autor:in) / Huang, Yongming (Autor:in)


    Erscheinungsdatum :

    01.07.2018


    Format / Umfang :

    413176 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Trajectory Planning Algorithm for Autonomous Overtaking Maneuvers

    Zhang, Su Min ;Sun, Hao ;Wang, Yu | Trans Tech Publications | 2013


    Planning for Safe Abortable Overtaking Maneuvers in Autonomous Driving

    Palatti, Jiyo / Aksjonov, Andrei / Alcan, Gokhan et al. | ArXiv | 2021

    Freier Zugriff

    TRAJECTORY PLANNING WITH OBSTACLE AVOIDANCE FOR AUTONOMOUS DRIVING VEHICLES

    YU NING / ZHU FAN / XUE JINGJING | Europäisches Patentamt | 2022

    Freier Zugriff

    Planning for Safe Abortable Overtaking Maneuvers in Autonomous Driving

    Palatti, Jiyo / Aksjonov, Andrei / Alcan, Gokhan et al. | IEEE | 2021


    Trajectory planning with obstacle avoidance for autonomous driving vehicles

    YU NING / ZHU FAN / XUE JINGJING | Europäisches Patentamt | 2024

    Freier Zugriff