Sora for Intelligent Vehicles: A Step From Constraint-Based Simulation to Artificiofactual Experiments Through Dynamic Visualization
文献类型:期刊论文
作者 | Wang, Xumeng1; Xue, Xiao2; Yan, Ran3; Wang, Xingxia4,5; Di, Yining6; Chen, Wei7; Wang, Fei-Yue4,5![]() |
刊名 | IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
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出版日期 | 2024-03-01 |
卷号 | 9期号:3页码:4249-4253 |
关键词 | Intelligent vehicles artificiofactual experiments Sora dynamic visualization |
ISSN号 | 2379-8858 |
DOI | 10.1109/TIV.2024.3384550 |
通讯作者 | Wang, Fei-Yue(feiyue@ieee.org) |
英文摘要 | Scenario simulation plays an integral role in the development, application, and management of intelligent vehicles. However, planning agents and customizing scenarios for complex systems are laborious, making it challenging to implement high-performance simulations. The striking progress made by Sora, a large-scale text-to-video model, suggests a research opportunity for high-performance simulation through dynamic visualizations. This paper reports the prospective effects of Sora on the scenario simulation of intelligent vehicles. Specifically, we review the achievements of Sora, picture the perspectives of artificiofactual experiments on intelligent vehicles based on the performance of Sora-type techniques, and discuss how far are we now. |
WOS关键词 | ARTIFICIAL-INTELLIGENCE ; TRANSPORTATION SYSTEMS ; TRENDS |
资助项目 | National Natural Science Foundation of China |
WOS研究方向 | Computer Science ; Engineering ; Transportation |
语种 | 英语 |
WOS记录号 | WOS:001214544700020 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
资助机构 | National Natural Science Foundation of China |
源URL | [http://ir.ia.ac.cn/handle/173211/58311] ![]() |
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.Nankai Univ, Coll Cyber Sci, Tianjin 300381, Peoples R China 2.Tianjin Univ, Coll Intelligence & Comp, Sch Comp Software, Tianjin 300072, Peoples R China 3.Nanyang Technol Univ, Sch Civil & Environm Engn, Singapore 639798, Singapore 4.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 5.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 6.Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R China 7.Zhejiang Univ, State Key Lab CAD&CG, Zhejiang 310058, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Xumeng,Xue, Xiao,Yan, Ran,et al. Sora for Intelligent Vehicles: A Step From Constraint-Based Simulation to Artificiofactual Experiments Through Dynamic Visualization[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2024,9(3):4249-4253. |
APA | Wang, Xumeng.,Xue, Xiao.,Yan, Ran.,Wang, Xingxia.,Di, Yining.,...&Wang, Fei-Yue.(2024).Sora for Intelligent Vehicles: A Step From Constraint-Based Simulation to Artificiofactual Experiments Through Dynamic Visualization.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,9(3),4249-4253. |
MLA | Wang, Xumeng,et al."Sora for Intelligent Vehicles: A Step From Constraint-Based Simulation to Artificiofactual Experiments Through Dynamic Visualization".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 9.3(2024):4249-4253. |
入库方式: OAI收割
来源:自动化研究所
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