Visual Human-Computer Interactions for Intelligent Vehicles and Intelligent Transportation Systems: The State of the Art and Future Directions

doi:10.1109/TSMC.2020.3040262

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Visual Human-Computer Interactions for Intelligent Vehicles and Intelligent Transportation Systems: The State of the Art and Future Directions
	Wang, Xumeng 1; Zheng, Xinhu 2; Chen, Wei 1; Wang, Fei-Yue3
发表期刊	IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
ISSN	2168-2216
	2021
卷号	51 期号:1 页码:253-265
通讯作者	Wang, Fei-Yue(feiyue@ieee.org)
摘要	Research on intelligent vehicles has been popular in the past decade. To fill the gap between automatic approaches and man-machine control systems, it is indispensable to integrate visual human-computer interactions (VHCIs) into intelligent vehicles systems. In this article, we review existing studies on VHCI in intelligent vehicles from three aspects: 1) visual intelligence; 2) decision making; and 3) macro deployment. We discuss how VHCI evolves in intelligent vehicles and how it enhances the capability of intelligent vehicles. We present several simulated scenarios and cases for future intelligent transportation system.
关键词	Augmented reality (AR) federated learning intelligent vehicles visual human-computer interactions visualization
DOI	10.1109/TSMC.2020.3040262
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61772456] ; National Natural Science Foundation of China[61761136020] ; National Natural Science Foundation of China[U1811463] ; Key-Area Research and Development Program of Guangdong Province[2020B090921003] ; Intel Collaborative Research Institute for Intelligent and Automated Connected Vehicles
项目资助者	National Natural Science Foundation of China ; Key-Area Research and Development Program of Guangdong Province ; Intel Collaborative Research Institute for Intelligent and Automated Connected Vehicles
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Cybernetics
WOS记录号	WOS:000607806700017
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类	人工智能+交通
引用统计	被引频次：37[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/42889
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Wang, Fei-Yue
作者单位	1.Zhejiang Univ, State Key Lab CAD&CG, Hangzhou 310058, Peoples R China 2.Univ Minnesota, Dept Elect & Comp Engn, Minneapolis, MN 55455 USA 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Wang, Xumeng,Zheng, Xinhu,Chen, Wei,et al. Visual Human-Computer Interactions for Intelligent Vehicles and Intelligent Transportation Systems: The State of the Art and Future Directions[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2021,51(1):253-265.
APA	Wang, Xumeng,Zheng, Xinhu,Chen, Wei,&Wang, Fei-Yue.(2021).Visual Human-Computer Interactions for Intelligent Vehicles and Intelligent Transportation Systems: The State of the Art and Future Directions.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,51(1),253-265.
MLA	Wang, Xumeng,et al."Visual Human-Computer Interactions for Intelligent Vehicles and Intelligent Transportation Systems: The State of the Art and Future Directions".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 51.1(2021):253-265.