Hohhot No. 2 High School, Inner Mongolia Autonomous Region, China
Email: willw0630@126.com (S.Y.W.)
Manuscript received October 3, 2024; revised November 11, 2024; accepted December 7, 2024; January 22, 2025.
Abstract—Civilian Unmanned Aerial Vehicles (UAVs) are widely used in environmental monitoring, search and rescue, traffic monitoring, logistics and freight transportation, agriculture, forestry and plant protection, aerial photography, urban inspection, remote sensing detection, and other fields. The operation in low-altitude environments poses a greater challenge to the safety of UAVs autonomous flight technology, and the key to ensuring the safe and autonomous flight of UAVs is the autonomous obstacle avoidance algorithm, which has also received a lot of attention. Obstacle avoidance path planning for UAVs is to find a flight path that makes the UAVs follow an optimal flight path from the starting point to the target point under a specific task background. In the face of special tasks, a single UAV may be unable to complete it. At this time, the mode of multiple UAVs performing functions simultaneously has been developed and widely used. This paper will sort out and review the research on UAV obstacle avoidance algorithms. In this paper, the discussion will be divided into two types of subjects: a single UAV and multiple UAVs. And the algorithm of a single UAV is divided into global obstacle avoidance and local obstacle avoidance.
Keywords—Unmanned Aerial Vehicles (UAVs), algorithm, obstacle avoidance
Cite: Shengyu Wang, "Research Status of Autonomous Obstacle Avoidance System for Unmanned Aerial Vehicles,"
International Journal of Engineering and Technology, vol. 17, no. 1, pp. 12-18, 2025.
Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
