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Visual odometry is a new navigation technology using video data. For long-range navigation, an intrinsic problem of visual odometry is the appearance of drift. The drift is caused by error accumulation, as visual odometry is based on relative measurements, and will grow unboundedly with time. The paper first reviews algorithms which adopt various methods to suppress this drift. However, as far as...
Due to the difference of received satellite's observational error distributions relative to the receiver in satellite positioning, the least square estimation is not the best linear unbiased estimation and this causes bias in positioning result. The weight least square method is adopted in order to satisfy the best linear unbiased estimation and improve positioning accuracy. Weight factor model was...
It's well known that the accuracy of the inertial navigation systems will rapidly degrades with time because of the measure sensor's error. Several variance techniques have been devised for the error modelling of this error by way of weighting functions, PSD, ARMA and NNs, etc. In this paper, we use the SVM(support vector machine) technique to predict the future noise coming from the measure sensors...
Airborne laser scanners are widely used for remote sensing and mapping and they are recently being applied to navigation of aerial and ground vehicles. Evaluation of new navigation algorithms in the presence of varying platform, sensor, and environment parameters requires high-fidelity measurement models of the airborne laser sensor. We present a procedure for the synthesis of airborne laser scanner...
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