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.


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    Title :

    Research on Lateral Active Collision Avoidance Algorithms for Intelligent Vehicles


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Qin, Jiaxiang (author) / He, Rui (author) / Liu, Yan (author) / Deng, Weiwen (author) / Zhang, Sumin (author)


    Publication date :

    2020-11-05


    Size :

    15 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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