基于改进势场蚁群算法的无人驾驶车辆路径引导方法

IF 0.6 4区 工程技术 Q4 ENGINEERING, MECHANICAL International Journal of Vehicle Design Pub Date : 2022-01-01 DOI:10.1504/ijvd.2022.10053059
Zhuozhen Tang, Hongzhong Ma
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Path guidance method for unmanned vehicle based on improved potential field ant colony algorithm
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来源期刊
International Journal of Vehicle Design
International Journal of Vehicle Design 工程技术-工程:机械
CiteScore
1.10
自引率
0.00%
发文量
12
审稿时长
9 months
期刊介绍: IJVD, the journal of vehicle engineering, automotive technology and components, has been established for over a quarter of a century as an international authoritative reference in the field. It publishes the Proceedings of the International Association for Vehicle Design, which is an independent, non-profit-making learned society that exists to develop, promote and coordinate the science and practice of vehicle design and safety. Topics covered include Vehicle engineering design Automotive technology R&D of all types of self-propelled vehicles R&D of vehicle components Interface between aesthetics and engineering Integration of vehicle and components design into the development of complete vehicle systems Social and environmental impacts of vehicle design Energy Safety.
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