@inproceedings{b338a4a654c0430b83db992aaee739ad,
title = "Collaborative Control of Unmanned Vehicle Matrix Formation Based on Autonomous Neighborhood Negotiation",
abstract = "In large-scale activities or performances, the formation of unmanned vehicles on the large platform has become a shocking means of artistic expression. How to achieve low-cost and reliable cooperative control and highly reliable formation in a limited observation area with viewing Angle constraints is a very valuable area of research. This paper puts forward a kind of driving control method of unmanned vehicle formation with matrix arrangement based on a small-scale region driving consultation. An observation and neighborhood negotiation topology is designed, which can realize the automatic maintenance of unmanned vehicle formation in the leader-slave mode with a single leader. This method can provide a low-cost and high-reliability cooperative control scheme for large-scale unmanned vehicle formation performance.",
keywords = "Autonomous control, Formation control, Regional consultations, Unmanned vehicle",
author = "Wang, \{Kai Xuan\} and Shen, \{Yu Ting\} and Zhang, \{Fu Quan\} and Jianglong Yu and Zhang Ren and Liang Zhuo",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 4th International Conference on Smart Vehicular Technology, Transportation, Communication and Applications, VTCA 2021 ; Conference date: 22-05-2021 Through 24-05-2021",
year = "2022",
doi = "10.1007/978-981-16-4039-1\_11",
language = "英语",
isbn = "9789811640384",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "113--123",
editor = "Tsu-Yang Wu and Shaoquan Ni and Shu-Chuan Chu and Chi-Hua Chen and Margarita Favorskaya",
booktitle = "Advances in Smart Vehicular Technology, Transportation, Communication and Applications - Proceedings of VTCA 2021",
address = "德国",
}