Research on Optimization of Static Path Planning Algorithm for UAV Autonomous Flight

• Published in: Journal of physics. Conference series Vol. 1646; no. 1; pp. 12038 - 12045
• Main Authors: Xu, Kaiming, Cong, Zhouyu, Wu, Zhigang, Yang, Zhe
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.09.2020
• Subjects: Algorithms; Obstacle avoidance; Optimization; Path planning; Physics; Potential fields; Unmanned aerial vehicles
• ISSN: 1742-6588; 1742-6596; 1742-6596
• DOI: 10.1088/1742-6596/1646/1/012038

The combination of artificial potential field method (APF) and A* path planning algorithm can optimize the path planning problem in the UAV static map. The artificial potential field method also has shortcomings, especially in avoiding obstacles. The simple A* algorithm takes too long to retrieve. The fusion of the two can improve the effect of obstacle avoidance. This article attempts to improve this fusion method. In this article, we introduce the application of artificial potential field method, A* algorithm and improved A* algorithm in static path planning. Finally, we will compare the artificial potential field method combining A* algorithm and improved A* algorithm.