An image based method for the determination of aircraft position and yaw and pitch orientations with respect to the runway during night landing is described. Information derived from a model of the airport lights together with video images acquired by an onboard video camera and roil attitude angle sensed with a roll sensor are integrated in a Kalman filtering algorithm. Simulation results are presented to demonstrate the feasibility of the proposed concept. References: 19
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