The human-vehicle collaboration in automated vehicles is an effective transitional means to overcome the difficulty of rapidly transitioning to a highly automated level of intelligence. Furthermore, it can fully leverage the strengths of both drivers and autonomous driving systems, embodying a design philosophy of human-centered. Therefore, this paper provides a review and perspectives of the human-vehicle collaboration for automated vehicles. First, the concept, forms and methods of human-vehicle collaboration are reviewed. Then, a human-vehicle mutual trust collaboration framework based on complementary advantages of humans and vehicles and brain-like intelligence is proposed. Specifically, the framework focuses on driver behavior understanding and brain-like cognitive decision planning. After that, the methods of driver behavior understanding and brain-like cognitive decision planning are summarized. Finally, challenges and future works are analyzed to contribute the develop of understandable, trustable, and acceptable human-vehicle collaboration systems.


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    Titel :

    Toward Human-Vehicle Collaboration for Automated Vehicles: A Review and Perspective


    Beteiligte:
    Huang, Tao (Autor:in) / Fu, Rui (Autor:in) / Sun, Qinyu (Autor:in) / Deng, Zejian (Autor:in) / Huang, Shucheng (Autor:in) / Jin, Lisheng (Autor:in)


    Erscheinungsdatum :

    01.05.2025


    Format / Umfang :

    3701948 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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