In this paper, a novel variational Bayesian-based adaptive Kalman filter (VBAKF) is
proposed to solve the problem of a linear state-space model with colored measurement …

The unscented Kalman filter (UKF) is a filtering algorithm that gives sufficiently good
estimation results for estimation problems of nonlinear systems even when high nonlinearity …

Vehicle sideslip angle is one of the important indicators to determine whether vehicles are
stable and is also a significant parameter for vehicle stability control. However, it is almost …

This study introduces a robust Kalman filter (RKF) with a filter-gain correction for cases of
measurement malfunctions. Using defined variables called measurement-noise scale …

Trilateration and Kalman filtering algorithms have been used in many tracking applications
ranging from Global Positioning Systems to biomechanics experiments to track rigid body …

Model predictive control (MPC) has been successfully used in trajectory tracking for
autonomous vehicles based on certain kinematic model under low external disturbance …

In order to improve the alignment precision and convergence speed of strap-down inertial
navigation system, an initial alignment method based on Sage-Husa adaptive filter is …

A fault detection and correction methodology for personal positioning systems for outdoor
environments is presented. We demonstrate its successful use in a system consisting of a …

For autonomous vehicles, navigation systems must be accurate enough to provide lane-
level localization. High-accuracy sensors are available but not cost-effective for production …