@inproceedings{1fefb12be20549ed948c46845585b1ab,
title = "A study on UAV formation collision avoidance",
abstract = "In this paper, system framework for UAV formation collision avoidance is proposed. Key modules of the framework are identified including collaborative sensing, threat assessment, formation reorganization, path planning and maneuver control. Their corresponding mathematical models are also established for performance optimization. The formation collision avoidance is finally formulated as a combined optimization problem by considering the accuracy, safety and efficiency requirements. A simulator is introduced for testing the performance of formation collision avoidance algorithms with selectable UAV platforms and sensor configurations. Some initial outdoor experiments are illustrated for system validation.",
keywords = "collision avoidance, framework, modules, optimization, simulation, UAV formation",
author = "Chunhui Zhao and Sijia Li and Jinwen Hu and Quan Pan and Zhao Xu and Yang Lvy and Wei Meng",
note = "Publisher Copyright: {\textcopyright} 2017 Technical Committee on Control Theory, CAA.; 36th Chinese Control Conference, CCC 2017 ; Conference date: 26-07-2017 Through 28-07-2017",
year = "2017",
month = sep,
day = "7",
doi = "10.23919/ChiCC.2017.8028745",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "8743--8747",
editor = "Tao Liu and Qianchuan Zhao",
booktitle = "Proceedings of the 36th Chinese Control Conference, CCC 2017",
}