Discussion on Collision Prediction Methods for Low-altitude Dynamic Targets Based on Image Recognition
Currently,UAVs have been widely used in various fields.Dynamic target detection based on UAV image sensor has attracted extensive attention from researchers because of its key position in theoretical research and practical application.It deeply studies the working scenarios of UAVs,and gives targeted mathematical modeling and analysis for their special operating environments.Then by simplifying the complexity of the scenes,it proposes a method for image recognition using a lightweight neural network model,which reduces computing costs while ensuring accurate prediction of collisions,thereby providing a more reliable safeguard for the UAVs' flight process.