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This paper proposes a visual navigation system for an unmanned aerial vehicle to track a moving ground object in a GPS-denied environment. Image processing combines a target tracker which provides pixel coordinates of a ground target, and the estimation of optical flow around the detected target position. An extended Kalman filter is applied to estimate position and velocity of the target as well...
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