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This paper describes vision-based target state estimation approaches for autonomous landing on a moving ground target. The state of moving ground target is estimated by using vision information from a gimbaled camera on an Unmanned Aerial Vehicle (UAV). Using the information from vision system, the UAV estimates the state of a moving target on the ground using the Unscented Kalman Filter (UKF). In...
This paper proposes a novel algorithm for tracking a target from UAV(Unmanned Aerial Vehicle). No knowledge is assumed about the target, apart from being in motion. The algorithm includes optical flow to compute velocity field of sequential frames. Velocity field varies radically near the boundary of the target. This simple fact enables to segregate the target and background from the scene and to...
The purpose of this paper is to present a proper guidance law for an UAV tracking and landing on a moving target with aid of on-board vision sensor. The image processing procedure extracts the target from the captured video and estimate the position and velocity of the target. With this information on image plane, we could calculate its position with relation to inertia frame. Using this geolocation...
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