9 October 2000 Tracking the attitude of an aircraft with a single imaging sensor using numerical optimization-based methods
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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.
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Yong Woon Park, Sangjin Shin, Joohwan Chun, "Tracking the attitude of an aircraft with a single imaging sensor using numerical optimization-based methods", Proc. SPIE 4118, Parallel and Distributed Methods for Image Processing IV, (9 October 2000); doi: 10.1117/12.403604; https://doi.org/10.1117/12.403604
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