Three Principles to Determine the Right-of-Way for AVs: Safe Interaction With Humans

doi:10.1109/TITS.2021.3072774

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

	Three Principles to Determine the Right-of-Way for AVs: Safe Interaction With Humans
	Li, Li 1; Zhao, Can 1; Wang, Xiao2,3 ; Li, Zhiheng 4; Chen, Long 5; Lv, Yisheng2 ; Zheng, Nan-Ning 6; Wang, Fei-Yue2,3
发表期刊	IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
ISSN	1524-9050
	2021-05-13
卷号	23 期号:7 页码:16
通讯作者	Wang, Fei-Yue(feiyue.wang@ia.ac.cn)
摘要	Autonomous vehicles (AVs) are widely believed to be good for improving transportation safety and efficiency. However, recent fatal accidents by some of their prototypes remind us that there are no operationalizable and quantitative safe driving strategies available for an AV in a wide range of situations to avoid collisions. In contrast with many recent studies that focused on ethical considerations when AVs are facing unavoidable harms, we study how to proactively prevent collisions by setting up a set of decision rules for AVs to determine the right-of-way efficiently. Notably, we summarize three essential principles for AVs designing to increase driving safety, and establish a rule-based nine-step communication-decision model to implement them. Our method is constructed by analyzing how human drivers solve potential conflicts. The decision rules are designed to be ambiguity-free and readily computable with the least communication so that human drivers and AVs could easily understand each other in terms of their behaviors and intentions of. We have demonstrated the effectiveness of our method by comparing it with some alternative approaches.
关键词	Vehicles Safety Accidents Sensors Prototypes Autonomous vehicles Automation Autonomous vehicles driving safety social interaction
DOI	10.1109/TITS.2021.3072774
关键词[WOS]	COLLISION-AVOIDANCE ; AUTONOMOUS VEHICLES ; DECISION-MAKING ; MITIGATION ; WOULD
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2018AAA0101402] ; Intel Collaborative Research Institute for Intelligent and Automated Connected Vehicles (ICRI-IACV) ; Young Elite Scientists Sponsorship Program of China Association of Science and Technology[2017QNRC001]
项目资助者	National Key Research and Development Program of China ; Intel Collaborative Research Institute for Intelligent and Automated Connected Vehicles (ICRI-IACV) ; Young Elite Scientists Sponsorship Program of China Association of Science and Technology
WOS研究方向	Engineering ; Transportation
WOS类目	Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号	WOS:000732348500001
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：19[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/173211/46846
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.Tsinghua Univ, Beijing Natl Res Ctr Informat Sci & Technol BNRis, Dept Automat, Beijing 100084, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Qingdao Acad Intelligent Ind, Qingdao 266000, Peoples R China 4.Tsinghua Univ, Grad Sch Shenzhen, Shenzhen 518055, Peoples R China 5.Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510275, Guangdong, Peoples R China 6.Xi An Jiao Tong Univ, Inst Artificial Intelligence & Robot IAIR, Xian 710049, 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	Li, Li,Zhao, Can,Wang, Xiao,et al. Three Principles to Determine the Right-of-Way for AVs: Safe Interaction With Humans[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2021,23(7):16.
APA	Li, Li.,Zhao, Can.,Wang, Xiao.,Li, Zhiheng.,Chen, Long.,...&Wang, Fei-Yue.(2021).Three Principles to Determine the Right-of-Way for AVs: Safe Interaction With Humans.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,23(7),16.
MLA	Li, Li,et al."Three Principles to Determine the Right-of-Way for AVs: Safe Interaction With Humans".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 23.7(2021):16.