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Publishing Language: Chinese | Open Access

Coverage path planning algorithm for multi-area by truck-supported multi-UAV

Shuangxi TIAN1,2Honghui CHEN2Binjie XU3( )Guohua WU3
School of Business, Hunan University of Finance and Economics, Changsha 410205, China
College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
School of Traffic & Transportation Engineering, Central South University, Changsha 410075, China
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Abstract

To study the application of UAVs (nmanned aerial vehicles) in area reconnaissance, a cooperation mode of truck-supported multi-UAV coverage reconnaissance and a collaborative path planning algorithm were proposed. With the goal of minimizing the task completion time, a mixed integer programming model was established considering the road constraints on the vehicle path and the energy constraints of the UAVs. A heuristic algorithm based on the idea of iterative relaxation was designed. In the test scene of 60 km2, 16 target areas were randomly set. The proposed algorithm realizes the coverage path planning of the truck and the UAVs, and the total reconnaissance task time is 1.593 h, which verifies the feasibility of the vehicle supporting the multi-UAV mode and the effectiveness of the algorithm.

CLC number: V279 Document code: A Article ID: 1001-2486(2024)06-227-08

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Journal of National University of Defense Technology
Pages 227-234

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Cite this article:
TIAN S, CHEN H, XU B, et al. Coverage path planning algorithm for multi-area by truck-supported multi-UAV. Journal of National University of Defense Technology, 2024, 46(6): 227-234. https://doi.org/10.11887/j.cn.202406025

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Received: 26 July 2022
Published: 28 December 2024
© 2024 Journal of National University of Defense Technology

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).