Vision-Based Tracking for Unmanned Aerial Vehicles

摘要

This paper presents the design of a vision-based controller for an underactuated, unmanned aerial vehicle (UAV) equipped with a pan-tilt camera unit (PTCU) to achieve the objective of following a leader vehicle autonomously. The relative position and orientation information is obtained from the monocular camera utilizing homography-based techniques. The proposed controller, built upon Lyapunov design methods, achieves uniform ultimate bounded (UUB) tracking. As an extension, it is also demonstrated that the approach used in the development of the control strategy for the leaderfollower problem can be applied, with a few modifications, to the problem of trajectory tracking, where the desired trajectory is described as a sequence of images taken, for example, by the on-board camera during a previous flight.