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Development and Testing of Advanced Driver Assistance Systems Through Scenario-Based Systems Engineering

文献类型：期刊论文

作者Li, Xuan3; Song, Rui1,4; Fan, Junfeng5; Liu, Mingyang2; Wang, Fei-Yue5
刊名IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
出版日期2023-08-01
卷号8期号:8页码:3968-3973
关键词Roads Testing Vehicles Systems engineering and theory Advanced driver assistance systems Meters Autonomous vehicles Scenarios-based system engineering advanced driver assistance systems parallel intelligence lane keeping assistance adaptive cruise control autonomous emergency braking
ISSN号2379-8858
DOI10.1109/TIV.2023.3297168
通讯作者Fan, Junfeng(junfeng.fan@ia.ac.cn) ; Wang, Fei-Yue(feiyue@ieee.org)
英文摘要Advanced driver assistance systems (ADAS) hold great promise for improving transportation safety and efficiency. However, the development of these technologies requires a robust and systematic engineering process to ensure their reliable and safe operation in various traffic situations. In this letter, we present a scenario-based systems engineering for the development and test of advanced driver assistance systems, drawing insights from a real automotive proving ground. This letter is the second part of Decentralized and Hybrid Workshop (DHW) on Scenarios Engineering (SE), which aims to improve scenario diversity and representation for advanced driver assistance systems. The article proposes a 5-layer scenario architecture and also describes several key tasks that must be addressed in the ADAS, such as lane keeping assistance (LSK), adaptive cruise control (ACC) and autonomous emergency braking (AEB). Additionally, we elaborate on the testing challenges that the aforementioned tasks entail. Finally, we employ clustering methods to obtain 9 crucial scenarios of LKA, which can be utilized for ADAS testing.
WOS关键词INTELLIGENT VEHICLES ; VALIDATION
资助项目National Natural Science Foundation of China[62203250] ; National Natural Science Foundation of China[62003341] ; Young Elite Scientists Sponsorship Program of China Association of Science and Technology[YESS20210289] ; China Postdoctoral Science Foundation[2020TQ1057] ; China Postdoctoral Science Foundation[2020M682823] ; Beijing Natural Science Foundation[4232057] ; Youth Innovation Promotion Association of CAS[2022130]
WOS研究方向Computer Science ; Engineering ; Transportation
语种英语
WOS记录号WOS:001075333800002
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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 ; Beijing Natural Science Foundation ; Youth Innovation Promotion Association of CAS
源URL[http://ir.ia.ac.cn/handle/173211/53014]  
专题多模态人工智能系统全国重点实验室
通讯作者Fan, Junfeng; Wang, Fei-Yue
作者单位1.China Automot Technol Res Ctr Co Ltd, Tianjin 300300, Peoples R China
2.Guangzhou Co Ltd, CATARC Automot Test Ctr, Guangzhou 511300, Peoples R China
3.Peng Cheng Lab, Shenzhen 518000, Peoples R China
4.Changan Univ, Sch Informat Engn, Xian 710064, Peoples R China
5.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, Xuan,Song, Rui,Fan, Junfeng,et al. Development and Testing of Advanced Driver Assistance Systems Through Scenario-Based Systems Engineering[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2023,8(8):3968-3973.
APA Li, Xuan,Song, Rui,Fan, Junfeng,Liu, Mingyang,&Wang, Fei-Yue.(2023).Development and Testing of Advanced Driver Assistance Systems Through Scenario-Based Systems Engineering.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,8(8),3968-3973.
MLA Li, Xuan,et al."Development and Testing of Advanced Driver Assistance Systems Through Scenario-Based Systems Engineering".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 8.8(2023):3968-3973.

入库方式： OAI收割

来源：自动化研究所

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