Research on improved A* path planning method for agricultural unmanned aerial vehicles
Feng Bai, Haifeng Yuan, Za Kan, Jingbin Li, Hewei Meng · 2025
Aiming at the characteristics of Xinjiang and Corps with a vast area and diverse terrain, traditional A* path planning for agricultural UAV suffers from drawbacks such as excessive redundant nodes, long search times, and non-smooth path planning. In response, a novel path planning method based on improved A* is proposed, tailored for agricultural UAV operations in Xinjiang. This method employs diagonal distance in three-dimensional space as heuristic function, incorporates dynamic weighting factor. It utilizes node reduction rules and cubic B-spline curves for secondary optimized path planning, effectively reduces search path length and enhances route search efficiency. Through simulation experiments, the superiority of the improved A* method in the three-dimensional environment of UAV is validated.