3 September 1993 Landing aircraft tracking using fusion of FLIR and laser range finder
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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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zbigniew Korona, Zbigniew Korona, Mieczyslaw M. Kokar, Mieczyslaw M. Kokar, } "Landing aircraft tracking using fusion of FLIR and laser range finder", Proc. SPIE 1956, Sensor Fusion and Aerospace Applications, (3 September 1993); doi: 10.1117/12.155080; https://doi.org/10.1117/12.155080

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