Metaverse-Enabled Intelligence for Open-Terrain Field Vehicle Fleets: Leveraging Parallel Intelligence and Edge Computing
文献类型：期刊论文
| 作者 | Shuai, Zhibin1,2; Hu, Zheng1,2; Gai, Jiangtao1,2; Chen, Yijie1,2; Chen, Jicheng3; Zhang, Hui4 ; Wang, Fei-Yue5
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| 刊名 | IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
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| 出版日期 | 2024-02-01 |
| 卷号 | 9期号:2页码:3111-3116 |
| 关键词 | Edge computing metaverse open-terrain field vehicle parallel intelligence vehicle fleet |
| ISSN号 | 2379-8858 |
| DOI | 10.1109/TIV.2024.3376461 |
| 通讯作者 | Chen, Jicheng(eejichengc@ust.hk) |
| 英文摘要 | Open-terrain field vehicle (OTFV) fleets, including mining trucks, construction machinery, and agricultural machinery, often encounter significantly more intricate scenarios and unique challenges than road vehicles. Enhancing the intelligence level of OTFV fleets can significantly enhance their operational effectiveness and improve energy efficiency. This perspective paper introduces a metaverse-enabled framework to improve the intelligence levels of OTFV fleets. The metaverse-enabled framework consists of the parallel intelligence-based vehicle fleet control and edge computing-based vehicle dynamics control levels. We first delve into the framework's specifics, covering open-terrain field metaverse, parallel intelligence, edge computing, and human-vehicle cooperation. We further discuss critical issues such as artificial general intelligence (AGI) enabled large control models, vehicle teleoperation, communication privacy, and edge scenario engineering. Additionally, we provide a detailed account of edge computing and integrated domain control within the vehicle dynamics control level, illustrating the interactions among human drivers, domain controllers, vehicle systems and open-terrain field metaverse. Ultimately, the proposed framework can potentially empower intelligence to OTFV fleets and other equipment clusters with complicated system compositions and challenging missions in complex environments. |
| WOS关键词 | PREDICTIVE CONTROL ; PLATOON |
| 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:001215322100031 |
| 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/173211/59052]  |
| 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 | Chen, Jicheng |
| 作者单位 | 1.China North Vehicle Res Inst, Beijing 100072, Peoples R China 2.Chinese Scholar Tree Ridge Lab, Beijing 100072, Peoples R China 3.Hong Kong Univ Sci & Technol, Dept Elect & Comp Engn, Hong Kong 999077, Peoples R China 4.Beihang Univ, Sch Transportat Sci Engn, Beijing 100091, Peoples R China 5.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shuai, Zhibin,Hu, Zheng,Gai, Jiangtao,et al. Metaverse-Enabled Intelligence for Open-Terrain Field Vehicle Fleets: Leveraging Parallel Intelligence and Edge Computing[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2024,9(2):3111-3116. |
| APA | Shuai, Zhibin.,Hu, Zheng.,Gai, Jiangtao.,Chen, Yijie.,Chen, Jicheng.,...&Wang, Fei-Yue.(2024).Metaverse-Enabled Intelligence for Open-Terrain Field Vehicle Fleets: Leveraging Parallel Intelligence and Edge Computing.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,9(2),3111-3116. |
| MLA | Shuai, Zhibin,et al."Metaverse-Enabled Intelligence for Open-Terrain Field Vehicle Fleets: Leveraging Parallel Intelligence and Edge Computing".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 9.2(2024):3111-3116. |
入库方式： OAI收割
来源：自动化研究所
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