Prediction-based Motion Planning for UAV Interception

The purpose of this paper is to discuss the optimization and Simulation of unmanned aerial vehicle (UAV) chasing non-intelligent agent. With the rapid development of UAV technology, UAV is more and more widely used in chasing non-intelligent agent. In order to make UAV more deeply used in the field of chasing non-intelligent agent, we propose a tracking method for UAV chasing non-intelligent agent, including non-intelligent agent trajectory prediction based on Kalman continuous filter and optimization scheme for UAV global waypoint nearest to non-intelligent agent, aiming to improve UAV tracking accuracy and maximize its tracking efficiency. In addition, we also establish a simulation platform for UAV chasing non-intelligent agent, and verifies the feasibility and effectiveness of the proposed method through simulation experiments.