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.
Landing aircraft tracking using fusion of FLIR and laser range finder
Sensor Fusion and Aerospace Applications ; 1993 ; Orlando,FL,United States
Proc. SPIE ; 1956
1993-09-03
Conference paper
Electronic Resource
English
Landing aircraft tracking using fusion of FLIR and laser range finder [1956-14]
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