Analysis of the Feasibility and Application Strategy of UAV Automatic Cruise Based on Yolo and SSD Algorithms
Yolo and SSD are two of the most commonly used real-time object detection algorithms,both of which have high accuracy.Applying these two algorithms to unmanned aerial vehicle(UAV)path planning,recognition,and localization can provide driving routes for automatic cruise control,helping UAVs complete tasks safely and efficiently.Therefore,this article will analyze the feasibility of applying Yolo and SSD algorithms in UAV automatic cruise control,and propose corresponding application strategies.This provides technical support for UAVs to achieve safer and more efficient path planning and automatic cruise control,and also offers academic reference for research in the automation field.
万方数据
维普
