口岸城市末端无人机精准配送与投递模型OA

As the lack of research on scenario-specific characteristics of logistics drones,a last-mile drone model is proposed for application in southwest region,particularly in suburban and rural areas with hilly and mountainous terrains.For the needs of delivery process,the proposed dual-objective model introduces a"path planning+image registration delivery"approach.To ensure flight safety,the model uses the A*algorithm and ground hazard zone classification for"jumping"path planning strategy.The"template+SURF"algorithm is employed for quick localization and efficient unloading.The proposed path planning model has been validated through tests in real scenarios while avoiding the fire hazard area.It demonstrates a more than 50％improvement in efficiency compared to manual delivery.The proposed model can achieve 88％alignment accuracy with 14％of power consumption,which is 7％higher than the traditional SIFT algorithm in terms of power consumption and 57％higher in terms of accuracy.Compared with the Desnet algorithm,it is 18％lower in terms of power consumption and 7％lower in terms of accuracy.The designed system can greatly improve the distribution and delivery accuracy of logistics UAVs in hilly and mountainous areas,as well as in areas with a high degree of housing similarity.