@inproceedings{785e7673e9084aeea516bd35349c7605,
title = "A UAV Formation Control Algorithm Based on Geometric Location",
abstract = "Unmanned aerial vehicle (UAV) formation is a fundamental application of multi-agent network with special task. The problem of multi-UAV localization considering collision avoidance are studied in this article. Based on the existing geometric localization algorithm, a fusion algorithm is proposed. Gradient method and MLE are used in the algorithm to localize unknown UAVs. Simulation results from Matlab and gazebo are presented to show that the algorithm can converge quickly and ensure safety between UAVs.",
keywords = "Formation control, Geometric location, MLE, Multi-UAV",
author = "Penglin Hu and Jinwen Hu and Chunhui Zhao and Quan Pan",
note = "Publisher Copyright: {\textcopyright} 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Guidance, Navigation and Control, ICGNC 2020 ; Conference date: 23-10-2020 Through 25-10-2020",
year = "2022",
doi = "10.1007/978-981-15-8155-7_367",
language = "英语",
isbn = "9789811581540",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "4421--4431",
editor = "Liang Yan and Haibin Duan and Xiang Yu",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020",
}