… of the filter under certain conditions. If, for instance, a high variance is assigned to the … model,
then the Kalman filter will follow the dynamic model in preference to the observation model. …

… The vehicle sensors consist of wheel speed sensors, steering angle encoder, and a fiber …
We fuse these in an extended Kalman filter. The process model is a dynamic bicycle model. We …

… popular forms of the Kalman Filter: the so-called Linearized Kalman Filter (LKF), and the
Extended Kalman Filter (EKF), and on the other hand between the Kalman Filter and one of its …

… formulate a fusion filter to integrate GPS and DR, namely model decomposition Kalman filter.
To this … work and decompose the process model into a set of model families by following a …

… extended Kalman filter model for autonomous ground vehicle … Kalman filter model incorporates
a detailed statistical model of … The resulting model consists of 14 states. Datashowing the …

… been used widely in land vehicles to provide positioning services. However, information …
where a loosely coupled model is formulated and an extended Kalman filter is then applied to …

… are the main concern, such as land vehicle and pedestrian navigation. … and two accelerometers
along with vehicle’s built-in … of INS/GPS integration is Kalman filtering (KF) which can be …

… The second part presents the Kalman filter as a simple and elegant algorithm … Kalman filters
are developed and interpreted. Finally, in order to illustrate the use of the Kalman filter in the …

… , the wheel dynamics, and the nonlinear tyre model. The comparison of the introduced EKF
… use the unscented Kalman filter (UKF) Citation23 Citation24 for the vehicle state estimation. …

… The goal of the present paper is to analyse the performance improvement of the unscented
Kalman filter over the extended Kalman filter for an integrated navigation information system. …