Research on UAV Area Coverage Path Planning Based on Grid Visualization Method

This paper proposes a UAV path planning algorithm for concave polygon area coverage based on a grid visualization method. By discretizing the target area into grid cells and integrating the detection range of UAV sensors, dynamic marking and visualization of the searched regions are achieved. This method effectively avoids redundant searches, significantly improves the efficiency and coverage rate of path planning, and provides intuitive visualization. Experimental results demonstrate the high practicality and robustness of the algorithm in complex concave polygon coverage tasks.