Perspective-Based Motion Planning for UAV Interception

Single-aircraft pursuit missions of UAVs are becoming increasingly important in modern military and civil domains, and these missions require UAVs to be able to autonomously recognize, track and approach moving targets. In this paper, we study the technology of UAV single-aircraft pursuit of agent, and propose a motion planning model based on the characteristics of the motion model of movable agent. The model realizes the prediction of the future trajectory of the agent by analyzing the movement law of the agent, which provides decision support for UAV chasing. Meanwhile, we also proposes a trajectory optimization strategy based on the maximization of UAV chase perspective, which improves the chase efficiency by optimizing the flight traj ectory of the UAV. In order to verify the effectiveness of the proposed model and strategy, we constructs a simulation platform based on ROS (Robot Operating System) for UAVs chasing agent, and tests and verifies the proposed model and strategy by simulating the scenario of UAVs chasing agent. The experimental results show that the proposed model and strategy can effectively improve the chasing efficiency and success rate of UAVs, which provides strong support for the application of UAVs in the field of agent chasing.