… from those vehicles, without use of ranging sensors. The vehicle sensors consist of wheel …
We fuse these in an extended Kalman filter. The process model is a dynamic bicycle model. …

… Also in this case a Kalman filter is implemented to integrate the measurements from the …
Kalman filters (EKF and UKF respectively) to allow estimating the velocities of the vehicle in local …

… Kalman filter that used measurements and time-varying error information from differential
Global Positioning System devices. The Kalman filter … for gathering vehicle trajectories have …

… A process of vehicle kinematics was integrated using Kalman Filter for complementary
fusion. The main drawback of the proposed solution is that the lateral position information was …

… The aim of this study is to compare the performance of a Kalman filter with that of a robust
filter, under conditions which would be realistic and viable for a production vehicle. Both filters …

… Kalman filter and nonlinear vehicle dynamics are employed in [17] for speed estimation,
but combined-slip forces and large-slip scenarios, which are challenges for the vehicle model-…

… extended and unscented Kalman filters are developed and interpreted. Finally, in order to
illustrate the use of the Kalman filter in the automotive field, this chapter presents an original …

… for Kalman filter parameter tuning with application to GPS error correction in vehicle … that
is trained on past vehicle GPS trajectories to predict the current vehicle position. This paper is …

… linear type Cα model in the Kalman filter, but extend it to include … in the filter – an extended
Kalman filter is prescribed; this has the … within the filter design. Practical viability for production …

… for trajectory tracking methods in vehicles with switching (air/water) navigation mode; and (ii)
the application of the Transformed Unscented Kalman Filter to a trajectory … aquatic trajectory …