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Proceedings Paper

Landing aircraft tracking using fusion of FLIR and laser range finder
Author(s): Zbigniew Korona; Mieczyslaw M. Kokar
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Paper Abstract

An algorithm is presented for tracking a landing aircraft using two different passive sensors, a laser range finder and an infrared camera. The main feature of this algorithm is that it is able to identify and compensate for abrupt disturbances. The algorithm is based on the extended Kalman filter (EKF) and the filtering confidence function (FCF) which introduces a learning approach to the tracking problem. The results of simulation using this learning tracking algorithm and the extended Kalman filter alone are presented and compared.

Paper Details

Date Published: 3 September 1993
PDF: 12 pages
Proc. SPIE 1956, Sensor Fusion and Aerospace Applications, (3 September 1993); doi: 10.1117/12.155080
Show Author Affiliations
Zbigniew Korona, Northeastern Univ. (United States)
Mieczyslaw M. Kokar, Northeastern Univ. (United States)

Published in SPIE Proceedings Vol. 1956:
Sensor Fusion and Aerospace Applications
Jake K. Aggarwal; Nagaraj Nandhakumar, Editor(s)

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