… An object tracking algorithm using an adaptive Kalman filter (KF) combined with mean shift
(… The searching result of MS is fed back as the measurement of the adaptive KF, and the …

… Based on the Kalman filter theory, we derive a simple and advanced algorithm for the … of
both filter coefficients in time-varying and noisy acoustic environments. The Kalman filter utilizes …

… made adaptive and insensitive to a priori sensor or actuator failures. Three basic approaches
to the adaptive Kalman filtering problem are the Multiple-Model-based Adaptive Estimation …

… This method uses the adaptive Kalman filtering method which can avoid filtering divergence
resulting from uncertainty to correct for the initial value used in the Ah counting method. A Ni/…

… This article focuses on the adaptive Kalman filtering problem for linear … A recursive-noise
adaptive Kalman filter is proposed to … Then, an adaptive Kalman filtering for recursive both noise …

… In this paper, we propose a novel Bayesian framework based on Kalman filter, which does
not … Our method uses a filter bank comprised of two adaptive Kalman filters, one for denoising …

… We aim at computing the joint posterior (filtering) distribution of … the variational Bayesian
(VB) adaptive Kalman filter (VB-AKF), … adaptive Kalman filter (VB-AKF) is shown in Algorithm 1. …

… formulation of the Kalman filter will result in a better performance or will prevent filter divergence.
In this section, an on-line fuzzy logic-based adaptive Kalman filter m-AKF) is presented …

… In this article, an adaptive Kalman filter based on adaptive factor and Chi-square test for
orientation estimation under accelerated and ferromagnetic disturbed conditions was presented. …

… of suspension system state estimation using a Kalman Filter (KF) under various road …
Then, road classification and KF are combined to form an Adaptive Kalman Filter (AKF) that …