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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 investigates terrain referenced navigation (TRN) system integrated with inertial navigation system (INS). TRN system estimates navigation information of an aircraft by using a terrain elevation database and radar altimeter measurements. We derive 15-state strapdown INS error kinematics equations to design fusion algorithm. A point mass filter (PMF) based on Bayesian estimation is applied...
This paper presents the design of algorithms to estimate the mass property, specially the moment of inertia, for the gyroless spacecraft. The gyro has several problems such as high price and frequent breakdown, but the other sensors could not replace gyro because of its update rate. However, CMOS-APS-based star tracker which is recently developed can give the vector observations in high update rate...
This paper studies a terrain referenced navigation which estimates a status of aircraft by using terrain elevation database and radar altimeter measurements. Terrain referenced navigation algorithm usually divides into two modes which are acquisition mode and tracking mode. In the tracking mode, states are estimated in real-time and extended Kalman filter(EKF) is a well-known navigation method for...
This paper deals with attitude dynamics estimation and rate sensor calibration of spacecraft at the same time during a designed maneuver. This study has been motivated from that both estimation of the moment of inertia and calibration of gyros for precision attitude control are usually performed by a pre-designed 3-axis maneuver for them, respectively. Spacecraft attitude dynamics to be estimated...
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