A Global Coverage Path Planning Method for Multi-UAV Maritime Surveillance in Complex Obstacle Environments

A Global Coverage Path Planning Method for Multi-UAV Maritime Surveillance in Complex Obstacle Environments

The study of unmanned aerial vehicle (UAV) coverage path planning is of great significance for ensuring maritime situational awareness and monitoring. In response to the problem of maritime multi-region coverage surveillance in complex obstacle environments, this paper proposes a global path plannin...

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Bibliographic Details
Main Authors: Yiyuan Li, Weiyi Chen, Bing Fu, Zhonghong Wu, Lingjun Hao
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Drones
Subjects:
coverage path planning
multiple traveling salesmen problem
obstacle avoidance
discrete grey wolf optimizer
dynamic programming
Online Access:https://www.mdpi.com/2504-446X/8/12/764
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