Applications of Machine Learning to UAV Autonomous Flight

With the widespread application of Unmanned Aerial Vehicle (UAV) technology in military, civil, and commercial sectors, the importance of UAV autonomous flight technology has become increasingly evident. The rapid development of Machine Learning (ML) technologies has brought new opportunities and challenges to UAV autonomous flight. This paper summarizes the theories related to deep learning in the UAV field and systematically introduces the application of machine learning in UAV autonomous flight, focusing on key technologies such as path planning, target detection and recognition, and obstacle avoidance. This paper analyzes the specific applications of machine learning algorithms in these fields and discusses the future development direction of UAV autonomous flight.