Advanced Scenario Generation for Calibration and Verification of Autonomous Vehicles

doi:10.1109/TIV.2023.3269428

CORC > 自动化研究所 > 中国科学院自动化研究所 > 多模态人工智能系统全国重点实验室

	Advanced Scenario Generation for Calibration and Verification of Autonomous Vehicles
	Li, Xuan 2; Teng, Siyu 1; Liu, Bingzi ; Dai, Xingyuan 3; Na, Xiaoxiang 4; Wang, Fei-Yue 3
刊名	IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
	2023-05-01
卷号	8 期号:5 页码:3211-3216
关键词	Testing Safety Autonomous vehicles Roads ISO Standards Calibration Standards Scenarios engineering autonomous vehicles parallel intelligence simulation scenarios real-road testing
ISSN号	2379-8858
DOI	10.1109/TIV.2023.3269428
通讯作者	Dai, Xingyuan(daixingyuan2015@ia.ac.cn)
英文摘要	As driving scenarios and autonomous vehicles (AVs) become increasingly intricating, there is an increasing need for innovative frameworks that can enhance and test AV capabilities across diverse scenarios. At present, the design and validation for AVs predominantly rely on simulation software or real-road testing methodologies. However, these approaches possess inherent limitations, leading to inaccuracy, reduced efficiency, and potential hazards during the development process. This letter reports our first DHW (decentralized and hybrid workshop) on Scenarios Engineering (SE), that aims to calibrate and validate AV modules through advanced scenarios. Specifically, the DHW discusses combining SE with existing simulation software and real-road testing strategies, enabling developers to maximize the advantages of each approach while ensuring the safety and efficacy in the development of autonomous vehicles. Our findings demonstrate the benefits of enhancing realism of simulation scenarios in the aspects of both content and appearance. Furthermore, the use of scenarios engineering is explored in order to enhance the diversity and safety of real-road testing by means of integrating virtual and physical components.
资助项目	National Natural Science Foundation of China[62203250] ; Young Elite Scientists Sponsorship Program of China Association of Science and Technology[YESS20210289] ; China Postdoctoral Science Foundation[2020TQ1057] ; China Postdoctoral Science Foundation[2020M682823]
WOS关键词	INTELLIGENCE
WOS研究方向	Computer Science ; Engineering ; Transportation
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000995920100002
资助机构	National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program of China Association of Science and Technology ; China Postdoctoral Science Foundation
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/53441]
专题	多模态人工智能系统全国重点实验室
通讯作者	Dai, Xingyuan
作者单位	1.Hong Kong Baptist Univ, Hong Kong 999077, Peoples R China 2.Peng Cheng Lab, Shenzhen 518000, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Univ Cambridge, Dept Engn, Cambridge CB2 1PZ, England
推荐引用方式 GB/T 7714	Li, Xuan,Teng, Siyu,Liu, Bingzi,et al. Advanced Scenario Generation for Calibration and Verification of Autonomous Vehicles[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2023,8(5):3211-3216.
APA	Li, Xuan,Teng, Siyu,Liu, Bingzi,Dai, Xingyuan,Na, Xiaoxiang,&Wang, Fei-Yue.(2023).Advanced Scenario Generation for Calibration and Verification of Autonomous Vehicles.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,8(5),3211-3216.
MLA	Li, Xuan,et al."Advanced Scenario Generation for Calibration and Verification of Autonomous Vehicles".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 8.5(2023):3211-3216.