A Review of Dynamic Obstacle Avoidance for Unmanned Aerial Vehicles (UAVs)

Unmanned aerial vehicles (UAVs) have seen widespread applications, bringing new changes to many fields, such as forest fire monitoring, factory warehouse etc. Consequently, ensuring the safety of UAVs during flight missions is of paramount importance. Enhancing the capability of UAVs to avoid obstacles is important in ensuring their flight safety. While algorithms for avoiding static obstacles have been extensively studied, there is still room for improvement in the ability to avoid dynamic obstacles. This paper provides a retrospective review of research papers from recent years that focus on UAVs avoiding dynamic obstacles. It outlines the fundamental framework for UAVs to navigate around dynamic obstacles, categorizing it into three main components: environmental perception, trajectory prediction, and trajectory planning. The study summarizes various algorithms for UAVs to avoid dynamic obstacles and compares the differences of these algorithms. Finally, the aspects of dynamic obstacle avoidance that should continue to be improved are discussed.