A path planning method of the car to return to the original lane needs to be established when the self-driving car fails to change lanes in an autonomous driving environment. The study for vehicles to return to the original lane when the vehicle fails to change lanes in the unmanned environment is necessary. In the study, we used the quintic polynomial path planning method to establish a path optimization model of returning to the original lane based on the requirements of vehicle kinematics. Considering the safety and efficiency of lane-changing return, we set up a comprehensive benefit function to evaluate the model. Simulations were used to test the models and compared paths. The results indicate that the proposed lane changing return model has high accuracy and can guarantee the safety of the return path to actual driving.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Micro-Path Planning for Lane-Changing Return of Autonomous Vehicles


    Beteiligte:
    Li, Ya (Autor:in) / Bai, HaiJian (Autor:in) / Zhao, YiNan (Autor:in) / Liu, HuiWen (Autor:in)

    Kongress:

    22nd COTA International Conference of Transportation Professionals ; 2022 ; Changsha, Hunan Province, China


    Erschienen in:

    CICTP 2022 ; 2152-2163


    Erscheinungsdatum :

    2022-09-08




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Lane changing for autonomous vehicles

    NAGASAKA NAOKI / PROKHOROV DANIL V | Europäisches Patentamt | 2016

    Freier Zugriff

    Two-Lane Path Planning of Autonomous Vehicles in 2.5D Environments

    Usami, Riku / Kobashi, Yuji / Onuma, Taiki et al. | IEEE | 2020


    METHODS FOR LANE CHANGING FOR AUTONOMOUS VEHICLES

    NAGASAKA NAOKI / PROKHOROV DANIL V | Europäisches Patentamt | 2017

    Freier Zugriff

    Planning flexible and smooth paths for lane‐changing manoeuvres of autonomous vehicles

    Bo Zhang / Jianwei Zhang / Yang Liu et al. | DOAJ | 2021

    Freier Zugriff

    DRIVING SCENARIO BASED LANE GUIDELINES FOR PATH PLANNING OF AUTONOMOUS DRIVING VEHICLES

    ZHU FAN / KONG QI / PAN YUCHANG et al. | Europäisches Patentamt | 2024

    Freier Zugriff