UAV Path Planning

As mentioned in the text, UAV path planning refers to identifying optimal or feasible routes from starting points to target locations under specific constraints while meeting UAV performance indicators. The fundamental nature of this problem involves solving optimization challenges with multiple objective functions under various constraints. Planning superior routes that satisfy mission requirements, navigation constraints, and safety standards can significantly improve UAV weapon system performance. Therefore, research on UAV path planning holds substantial importance. This paper summarizes UAV path planning challenges, elaborates on the framework structure, and examines current research status of static global planning and dynamic local planning methods. Additionally, it analyzes several commonly used planning algorithms from recent years. Based on these research findings, future research directions are projected with emphasis on algorithmic implementations involving trajectory optimization, collision avoidance mechanisms, and real-time path replanning capabilities.