Title :
Vision-based target tracking and motion estimation using a small UAV
Author :
Li, Zhiyuan ; Hovakimyan, Naira ; Dobrokhodov, Vladimir ; Kaminer, Isaac
Author_Institution :
Dept. of Mech. Sci. & Eng., UIUC, Urbana, IL, USA
Abstract :
This work extends the earlier results on passive vision-based tracking and motion estimation of a ground vehicle. The follower small unmanned air vehicle (UAV) is equipped with a single gimbaled pan/tilt camera and a high bandwidth wireless link for video and command transmitting. The objective is for the UAV to maintain a horizontal circular orbit about the target with a predefined radius and to concurrently provide real-time estimation of the target´s position, speed and heading. The target velocity estimation problem is formulated such that the recently developed L1 fast adaptive estimator can be applied. We give a rigorous proof of asymptotic stability for the guidance law for the static target case, and provide a reformulation of the control objective for the moving target case so that the existing controller can be applied naturally.
Keywords :
aircraft control; asymptotic stability; cameras; mobile robots; motion estimation; remotely operated vehicles; robot vision; target tracking; asymptotic stability; horizontal circular orbit maintenance; motion estimation; passive vision-based target tracking; single gimbaled pan-tilt camera; small UAV; target velocity estimation problem; unmanned air vehicle; Cameras; Equations; Estimation; Kinematics; Motion estimation; Target tracking; Unmanned aerial vehicles;
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-7745-6
DOI :
10.1109/CDC.2010.5718149