Trustworthy Intelligent Vehicle Systems Based on TRUE Autonomous Organizations and Operations: A New Perspective
文献类型:期刊论文
作者 | Liang, Xiaolong1,2,3![]() ![]() ![]() ![]() |
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:3195-3204 |
关键词 | Ethics Collaboration Organizations Intelligent vehicles Decision making Artificial intelligence Smart contracts Decentralized autonomous organizations TRUE autonomous organizations and operations intelligent vehicles blockchain |
ISSN号 | 2379-8858 |
DOI | 10.1109/TIV.2024.3358875 |
通讯作者 | Li, Juanjuan(juanjuan.li@ia.ac.cn) |
英文摘要 | Intelligent Vehicles (IVs), integrating sensing, communication, and computing technologies, have immense potential to elevate efficiency, reduce traffic accidents, and diminish emissions. However, since faulty decisions made by IVs may endanger the safety of people's lives and property, improper trust in these automated systems could potentially lead to significant risks and problems. The trust issues in IVs stems not only from technological immaturity but also from the inability of automation systems to handle complex social relationships. TRUE Autonomous Organizations and Operations (TAOs), underpinned by blockchain and smart contracts, propose a code-governed, trustworthy human-machine collaboration model, offering a promising approach to tackle those challenges. This paper introduces TAOs into IVs to propose an innovative human-machine collaboration system namely IV-TAOs, aiming to enhance the trustworthiness between humans and IVs. The architecture of IV-TAOs is formulated, with an exploration of both their characteristics and associated risk issues. This work provides a new perspective on addressing the trust issues encompassing but not confined solely within the context of intelligent vehicles. |
WOS关键词 | PARALLEL INTELLIGENCE ; METAVERSES ; INTERNET |
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:001215322100041 |
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/173211/59061] ![]() |
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 | Li, Juanjuan |
作者单位 | 1.Macau Univ Sci & Technol, Fac Innovat Engn, Macau 999078, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 266109, Peoples R China |
推荐引用方式 GB/T 7714 | Liang, Xiaolong,Li, Juanjuan,Qin, Rui,et al. Trustworthy Intelligent Vehicle Systems Based on TRUE Autonomous Organizations and Operations: A New Perspective[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2024,9(2):3195-3204. |
APA | Liang, Xiaolong,Li, Juanjuan,Qin, Rui,&Wang, Fei-Yue.(2024).Trustworthy Intelligent Vehicle Systems Based on TRUE Autonomous Organizations and Operations: A New Perspective.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,9(2),3195-3204. |
MLA | Liang, Xiaolong,et al."Trustworthy Intelligent Vehicle Systems Based on TRUE Autonomous Organizations and Operations: A New Perspective".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 9.2(2024):3195-3204. |
入库方式: OAI收割
来源:自动化研究所
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