Advanced Scenario Generation for Calibration and Verification of Autonomous Vehicles
文献类型：期刊论文
| 作者 | Li, Xuan3; Teng, Siyu1; Liu, Bingzi; Dai, Xingyuan2 ; Na, Xiaoxiang4; Wang, Fei-Yue2
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| 刊名 | IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
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| 出版日期 | 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. |
| WOS关键词 | INTELLIGENCE |
| 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研究方向 | Computer Science ; Engineering ; Transportation |
| 语种 | 英语 |
| WOS记录号 | WOS:000995920100002 |
| 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 |
| 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.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Peng Cheng Lab, Shenzhen 518000, 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. |
入库方式： OAI收割
来源：自动化研究所
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