Decision-Making in Driver-Automation Shared Control:A Review and Perspectives  

作　　者：Wenshuo Wang Xiaoxiang Na Dongpu Cao Jianwei Gong Junqiang Xi Yang Xing Fei-Yue Wang 

机构地区：[1]IEEE [2]California PATH,University of California,Berkeley,CA 94720 USA [3]Department of Engineering,University of Cambridge,Cambridge CB21PZ,U.K. [4]Mechanical and Mechatronics Engineering,University of Waterloo,Waterloo N2L3G1,Canada [5]Department of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081,China [6]School of Mechanical and Aerospace Engineering,Nanyang Technological University,Singapore 639798,Singapore [7]State Key Laboratory for Management and Control of Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,and also with the Research Center for Military Computational Experiments and Parallel Systems Technology,National University of Defense Technology,Changsha 410073,China

出　　处：《IEEE/CAA Journal of Automatica Sinica》2020年第5期1289-1307,共19页自动化学报（英文版）

摘　　要：Shared control schemes allow a human driver to work with an automated driving agent in driver-vehicle systems while retaining the driver’s abilities to control.The human driver,as an essential agent in the driver-vehicle shared control systems,should be precisely modeled regarding their cognitive processes,control strategies,and decision-making processes.The interactive strategy design between drivers and automated driving agents brings an excellent challenge for human-centric driver assistance systems due to the inherent characteristics of humans.Many open-ended questions arise,such as what proper role of human drivers should act in a shared control scheme?How to make an intelligent decision capable of balancing the benefits of agents in shared control systems?Due to the advent of these attentions and questions,it is desirable to present a survey on the decision making between human drivers and highly automated vehicles,to understand their architectures,human driver modeling,and interaction strategies under the driver-vehicle shared schemes.Finally,we give a further discussion on the key future challenges and opportunities.They are likely to shape new potential research directions.

关 键 词：Automated vehicle DECISION-MAKING human driver human-vehicle interaction shared control 

分 类 号：U463.6[机械工程—车辆工程]