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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    Title :

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


    Contributors:
    Huang, Tao (author) / Fu, Rui (author) / Sun, Qinyu (author) / Deng, Zejian (author) / Huang, Shucheng (author) / Jin, Lisheng (author)


    Publication date :

    2025-05-01


    Size :

    3701948 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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