Vision-based tracking of uncooperative targets

被引：5

作者：

Kannan S.K. ^{[1
]}

Johnson E.N. ^{[1
]}

Watanabe Y. ^{[2
]}

Sattigeri R. ^{[3
]}

机构：

[1] School of Aerospace Engineering, Georgia Institute of Technology, Atlanta

[2] Department of Systems Control and Flight Dynamics, ONERA

[3] Guided Systems Technologies, Stockbridge

来源：

International Journal of Aerospace Engineering | 2011年

关键词：

All Open Access; Gold; Green;

D O I：

10.1155/2011/243268

中图分类号：

学科分类号：

摘要：

This paper presents a summary of a subset of the extensive vision-based tracking methods developed at Georgia Tech. The problem of a follower aircraft tracking an uncooperative leader, using vision information only, is addressed. In all the results presented, a single monocular camera is used as the sole source of information used to maintain formation with the leader. A Kalman filter formulation is provided for the case where image processing may be used to estimate leader motion in the image plane. An additional piece of information, the subtended angle, also available from computer vision algorithm is used to improve range estimation accuracy. In situations where subtended angle information is not available, an optimal trajectory is generated that improves range estimation accuracy. Finally, assumptions on the target acceleration are relaxed by augmenting a Kalman Filter with an adaptive element. Copyright © 2011 Suresh K. Kannan et al.

引用

共 34 条

[1]

Proctor A.A., Johnson E.N., Apker T.B., Vision-only control and guidance for aircraft, Journal of Field Robotics, 23, 10, pp. 863-890, (2006)

[2]

Dewagter C., Proctor A., Johnson E.N., Vision-only aircraft flight control, Proceedings of the 22nd Digital Avionics Systems Conference October 2003 Indianapolis, Ind, USA

[3]

Shakernia O., Vidal R., Sharp C., Ma Y., Sastry S., Multiple view motion estimation and control for landing an unmanned aerial vehicle, Proceedings of the International Conference on Roboticsand Automation May 2002 Washington, DC, USA

[4]

Caballero F., Merino L., Ferruz J., Ollero A., Vision-based odometry and SLAM for medium and high altitude flying UAVs, Journal of Intelligent and Robotic Systems: Theory and Applications, 54, 13, pp. 137-161, (2009)

[5]

Kendoul F., Nonami K., Fantoni I., Lozano R., An adaptive vision-based autopilot for mini flying machines guidance, navigation and control, Autonomous Robots, 27, 3, pp. 165-188, (2009)

[6]

Ha J.-C., Alvino C., Pryor G., Niethammer M., Johnson E., Tannenbaum A., Active contours and optical flow for automatic tracking of flying vehicles, Proceedings of the American Control Conference (AAC '04) July 2004, pp. 3441-3446

[7]

Sethian J.A., A fast marching level set method for monotonically advancing fronts, Proceedings of the National Academy of Sciences of the United States of America, 93, 4, pp. 1591-1595, (1996)

[8]

Singer R.A., Estimating optimal tracking filter performance for manned maneuvering targets, IEEE Transactions on Aerospace and Electronic Systems, 6, 4, pp. 473-483, (1970)

[9]

Johnson E.N., Kannan S.K., Adaptive trajectory control for autonomous helicopters, Journal of Guidance, Control, and Dynamics, 28, 3, pp. 524-538, (2005)

[10]

Ha J., Alvino C., Pryor G., Niethammer M., Johnson E., Tannenbaum A., Active contours and optical flow for automatic tracking of flying vehicles, Proceedings of the American Control Conference (AAC '04) July 2004 Boston, Mass, USA, pp. 3441-3446

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