A Review of UAV Path Planning Algorithms

With the rapid development of unmanned aerial vehicle (UAV) technology, its applications have widely penetrated into various fields such as military, civil and commercial sectors. As a key link for UAVs to perform tasks efficiently and safely, path planning has attracted extensive attention. This paper conducts a systematic review of UAV path planning algorithms. Firstly, it expounds the research background and significance, and points out that complex environments and diversified tasks put forward high requirements for path planning. Then, it introduces in detail the principles and characteristics of path planning algorithms. Subsequently, it analyzes the current challenges faced by UAV path planning, such as adaptation to complex environments, multi-UAV collaboration, and real-time re-planning in dynamic environments. Finally, it looks forward to the future development trends such as algorithm fusion, application of deep learning, and multi-objective optimization. This review aims to provide a reference for the further research and application of UAV path planning algorithms.