Vehicle lateral obstacle avoidance technology is one of the key technologies of intelligent driving. In view of the current situation that there are few studies on vehicle lateral collision risk degree and its description, this paper proposes a description method of vehicle lateral collision risk degree by analyzing the mechanism and kinematics model of vehicle lateral collision, and proposes a lateral active collision avoidance algorithm based on this method. In order to verify the rationality of the proposed risk description method and collision avoidance algorithm, a lateral simulation experiment is designed for typical lateral collision conditions. The simulation results show that the proposed lateral collision risk description method and the lateral active collision avoidance algorithm have good effectiveness and robustness.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Research on Lateral Active Collision Avoidance Algorithms for Intelligent Vehicles


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Qin, Jiaxiang (Autor:in) / He, Rui (Autor:in) / Liu, Yan (Autor:in) / Deng, Weiwen (Autor:in) / Zhang, Sumin (Autor:in)


    Erscheinungsdatum :

    2020-11-05


    Format / Umfang :

    15 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Research on Lateral Active Collision Avoidance Algorithms for Intelligent Vehicles

    Qin, Jiaxiang / He, Rui / Liu, Yan et al. | TIBKAT | 2021


    Research on Lateral Active Collision Avoidance Algorithms for Intelligent Vehicles

    Qin, Jiaxiang / He, Rui / Liu, Yan et al. | British Library Conference Proceedings | 2021


    Longitudinal and lateral collision avoidance control strategy for intelligent vehicles

    Zhang, Ziyu / Wang, Chunyan / Zhao, Wanzhong et al. | SAGE Publications | 2022


    An intelligent collision avoidance algorithm research

    Wang, Xiao-ye / Zheng, Ru-jing / Simsir, Ugur et al. | IEEE | 2016