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Proceedings Paper

Tracking the attitude of an aircraft with a single imaging sensor using numerical optimization-based methods
Author(s): Yong Woon Park; Sangjin Shin; Joohwan Chun
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Paper Abstract

We shall show how to extract various important information on the motion of a target (enemy aircraft) from a sequence of its image frames obtained using a single imaging sensor which is mounted on an aircraft. Specifically, we present an algorithm which estimates following 12 parameters of an enemy aircraft from its image sequence; position (three), linear velocity (three), attitude (three), instantaneous angular velocity (three) and optional acceleration (three). To extract the attitude, we use a matching algorithm for the captured image frame to the modeled image. The objective function is the value of correlation between these two images, and we use simulated annealing and downhill simplex methods for maximizing the objective function. Finally, estimation of the position and the at titude is accomplished with a 12- state extended Kalman filter. Through simulations, we show that the proposed algorithm is superior to convention algorithms which do not use the attitude information.

Paper Details

Date Published: 9 October 2000
PDF: 11 pages
Proc. SPIE 4118, Parallel and Distributed Methods for Image Processing IV, (9 October 2000); doi: 10.1117/12.403604
Show Author Affiliations
Yong Woon Park, Agency for Defense Developments (South Korea)
Sangjin Shin, Korea Advanced Institute of Science and Technology (South Korea)
Joohwan Chun, Korea Advanced Institute of Science and Technology (South Korea)

Published in SPIE Proceedings Vol. 4118:
Parallel and Distributed Methods for Image Processing IV
Hongchi Shi; Patrick C. Coffield; Divyendu Sinha, Editor(s)

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