… The purpose of the present study is to compare several nonlinear filters including two
extended Kalman filters, one using t,he Cartesian coordinat,e system and the other using the …

… forward to acquire vehicle states and road friction coefficient. Kalman filter has become one
… estimation of vehicle states and parameters by supplementing vehicle parameters (such as …

… vehicle. To improve the accuracy and adaptability of vehicle running state estimation, in this
work, the vehicle … in-wheel motor drive electric vehicle using the Kalman filters and tire force …

… In this paper an application of two new variants of the Unscented Kalman Filter called the
SPUKF and the ESPUKF is proposed for Launch Vehicle navigation using a GPS receiver. The …

… The EKF (Extended Kalman Filter) is probably the most commonlyused estimator for …
Kalman Filter) [16] is chosen for the following reasons: • the high nonlinearities of the vehicle-road …

… Then, the extended Kalman filter was sensor fusion using the extended Kalman Filter (EKF) …
If the distance The extended Kalman filter has been the extensively used between this …

… based unscented Kalman filter (MP-UKF) for hypersonic vehicles navigation with INS/GNSS
integration. The MP-UKF employs the concept of model predictive filter to establish an …

… vehicle state and parameter estimation with a second-order differential Kalman filter to build
a nonlinear vehicle model … have been used in the field of vehicles. Among them are various …

… In this paper, based on Kalman filtering algorithm, a method of target vehicle motion … Kalman
filter to do radar data processing, the position, velocity and acceleration of the target vehicle …

… for land vehicles, which can simultaneously adapt to the uncertain noise of inertial sensors
and bridge Global Positioning System (GPS) outages. First, three Unscented Kalman filters (…