Obstacle Recognition and Path Planning of UAV Flight

Aiming at the problem of classification and detection of obstacles and flight path planning in the process of UAV obstacle avoidance, YOLO is used the algorithm detects the category information of obstacles. Based on the construction of indoor 3D maps, the TSP algorithm is used to detect obstacles. Research on the path planning of man-machines, establish the control mathematical model of obstacle avoidance flight under hypothetical scenarios, and obtain the best flight path through simulation analysis and comparison.