中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Three Principles to Determine the Right-of-Way for AVs: Safe Interaction With Humans

文献类型:期刊论文

作者Li, Li2; Zhao, Can2; Wang, Xiao1,6; Li, Zhiheng5; Chen, Long4; Lv, Yisheng6; Zheng, Nan-Ning3; Wang, Fei-Yue1,6
刊名IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
出版日期2021-05-13
页码16
关键词Vehicles Safety Accidents Sensors Prototypes Autonomous vehicles Automation Autonomous vehicles driving safety social interaction
ISSN号1524-9050
DOI10.1109/TITS.2021.3072774
通讯作者Wang, Fei-Yue(feiyue.wang@ia.ac.cn)
英文摘要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.
WOS关键词COLLISION-AVOIDANCE ; AUTONOMOUS VEHICLES ; DECISION-MAKING ; MITIGATION ; WOULD
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]
WOS研究方向Engineering ; Transportation
语种英语
WOS记录号WOS:000732348500001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构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
源URL[http://ir.ia.ac.cn/handle/173211/46845]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Wang, Fei-Yue
作者单位1.Qingdao Acad Intelligent Ind, Qingdao 266000, Peoples R China
2.Tsinghua Univ, Beijing Natl Res Ctr Informat Sci & Technol BNRis, Dept Automat, Beijing 100084, Peoples R China
3.Xi An Jiao Tong Univ, Inst Artificial Intelligence & Robot IAIR, Xian 710049, Peoples R China
4.Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510275, Guangdong, Peoples R China
5.Tsinghua Univ, Grad Sch Shenzhen, Shenzhen 518055, Peoples R China
6.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
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,2021:16.
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,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 (2021):16.

入库方式: OAI收割

来源:自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。