面向低空经济的无人机配送路径规划综述OA

With the rapid rise of the low-altitude economy,unmanned aerial vehicle(UAV)delivery is evolving towards continuous scenario expansion and in-depth technological applications.The path planning of UAV delivery has become a research hotspot in response to the increasing demands of application scenarios.Path planning is key to achieving intelligence and large-scale deployment for UAV delivery,while also closely related to economic benefits and operational safety.To this end,this paper provides a systematic review of the current research status in UAV delivery path planning.Firstly,the problem is modeled with the path planning objectives and constraints.Next,the current mainstream path planning methods are analyzed and classified into three categories:model-driven,data-driven,and rule-driven approaches along with representative application cases in typical scenarios.Finally,the existing technical challenges are outlined and the development trends of UAV delivery path planning are discussed from five dimensions:collaborative fusion,system collaborative optimization,reliability design,platform-based operation,and application scenario expansion.