Parallel Vision for Intelligent Transportation Systems in Metaverse: Challenges, Solutions, and Potential Applications
文献类型：期刊论文
| 作者 | Zhang, Hui3 ; Luo, Guiyang2; Li, Yidong3; Wang, Fei-Yue1
|
| 刊名 | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
 |
| 出版日期 | 2022-12-20 |
| 页码 | 14 |
| 关键词 | Intelligent transportation system (ITS) metaverse parallel vision |
| ISSN号 | 2168-2216 |
| DOI | 10.1109/TSMC.2022.3228314 |
| 通讯作者 | Luo, Guiyang(luoguiyang@bupt.edu.cn) |
| 英文摘要 | Metaverse and intelligent transportation system (ITS) are disruptive technologies that have the potential to transform the current transportation system by decreasing traffic accidents and improving driving safety. The integration of Metaverse and transportation technology, called metaverse transportation system (MTS), can greatly improve the intelligence of real transportation system. The digital models built in MTS help to simulate the full life cycle of physical entities, which equip the virtual space with controllability and flexibility. In this article, we concentrate on the field of environment perception, which is the basic function of intelligent vehicles in MTS. To overcome the poor scalability of traditional environment perception methods, we develop the framework of parallel vision for ITS in metaverse (PVITS), consisting of construction of virtual transportation space, model learning based on computational experiments, and feedback optimization based on parallel execution. This article highlights opportunities brought by PVITS in terms of model precision and generalization improvement. Then, the challenges of PVITS are discussed, i.e., distribution difference between virtual and real transportation space, structure design and theoretical interpretation of vision models, and data security and privacy in virtual transportation space. After that, we present several solutions to tackle the application challenges and fully exploit the superior characteristics of PVITS while attenuating their negative side effects. Some potential applications are also given to represent the effectiveness and reliability of PVITS. |
| WOS关键词 | ALIGNMENT |
| 资助项目 | National Natural Science Foundation of China[62102041] ; National Natural Science Foundation of China[62203040] ; National Key Research and Development Program of China[2021YFB1600402] |
| WOS研究方向 | Automation & Control Systems ; Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000903354500001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; National Key Research and Development Program of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/51045]  |
| 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 | Luo, Guiyang |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China 3.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Hui,Luo, Guiyang,Li, Yidong,et al. Parallel Vision for Intelligent Transportation Systems in Metaverse: Challenges, Solutions, and Potential Applications[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2022:14. |
| APA | Zhang, Hui,Luo, Guiyang,Li, Yidong,&Wang, Fei-Yue.(2022).Parallel Vision for Intelligent Transportation Systems in Metaverse: Challenges, Solutions, and Potential Applications.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,14. |
| MLA | Zhang, Hui,et al."Parallel Vision for Intelligent Transportation Systems in Metaverse: Challenges, Solutions, and Potential Applications".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2022):14. |
入库方式： OAI收割
来源：自动化研究所
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