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

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

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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.

CollaborationIntelligent systemsIntelligent vehiclesDecision makingDriver behaviorAutomationReviewsPlanningBrain modelingReliability

Tao Huang、Rui Fu、Qinyu Sun、Zejian Deng、Shucheng Huang、Lisheng Jin

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School of Vehicle and Energy, Yanshan University, Qinhuangdao, China

School of Automobile, Chang’an University, Xi’an, China

Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON, Canada

2025

IEEE transactions on intelligent transportation systems
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