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Barometers have been incorporated into fall detectors in order to enhance the accuracy of fall detection algorithms, however they are power-hungry devices. We present an offline evaluation of a Kalman filter (KF) for estimating the pressure change during a fall that enables low-power operation of the barometer. The KF takes advantage of the fact that a semi-permeable air membrane on a waterproof fall...
Schemes for feature tracking and relative pose estimation for the final approach of rendezvous and docking procedure is proposed in this paper. Positions of the feature points were predicted by Kalman filter proposed to reduce the searching area, which effectively increased both the calculation speed and the anti-disturbance ability. Relative pose information was retrieved from solving the 3 points...
In this paper, we propose a leveling algorithm based on extended Kalman particle filter (EKPF) for compensating the initial attitude error and the accumulated error. The meaning of leveling in the paper is to acquire two attitude angles of the roll and the pitch of the aircraft during its motion. The EKPF algorithm is applied to our inertial attitude reference unit based on the hemispherical resonator...
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