@inproceedings{2935700cb8d24692a0d63afa83726392,
title = "Multi-UAV Cooperative Detection and Assignment Algorithm on Multiple Targets Based on Genetic Algorithm",
abstract = "In complex combat environments, the detection capability of a single UAV is limited, making it unable to effectively complete detection tasks for multiple targets in larger areas. Therefore, the cooperative detection technology of multiple UAVs system is being widely studied. This paper proposes a multi-UAV cooperative detection method based on genetic algorithm. The method divides the detection process into two stages: target assignment and cooperative detection. Taking into account the detection capability constraints of UAVs, optimization objection functions are designed for each stage, and genetic algorithm is used for optimization solution. Simulation shows that this method can adapt to constantly changing detection environments and is effective in improving the target recognition rate and overall detection accuracy of multi-UAV system.",
keywords = "Cooperative detection, Genetic algorithm, Multi-UAV system",
author = "Yihong Zhang and Changyu Bi and Haoge Jiang and Yu Cao and Xiumin Li and Jianan Wang",
note = "Publisher Copyright: {\textcopyright} 2025 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Guidance, Navigation and Control, ICGNC 2024 ; Conference date: 09-08-2024 Through 11-08-2024",
year = "2025",
doi = "10.1007/978-981-96-2244-3_32",
language = "English",
isbn = "9789819622436",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "328--340",
editor = "Liang Yan and Haibin Duan and Yimin Deng",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 12",
address = "Germany",
}