… Therefore, this paper proposes an automated driving path planning and trajectory tracking
control method based on Kalman filter vehicle state observer. Some of vehicle state data can …

… the Kalman filter (KF). The simulation and practical experiment results show that, compared
to the extended Kalman filter (EKF) and unscented Kalman filter (UKF).The modified filter not …

… The KF-AR algorithm first approximates the vehicle trajectory by a polynomial of a certain
degree, and then predicts the vehicle position using an AR model. The linearization technique …

… ego vehicle and behavior prediction of the surrounding vehicles … and corresponding trajectories
are optimized using mixed … A multiple model Kalman filter that uses the trajectories as a …

… In this article, we give an improved extended Kalman filter (… predict the increment of the vehicle
position based on Gaussian … together to optimize vehicle positioning accuracy during GPS …

… The Unscented Kalman Filter (UKF) is a well-… Kalman Filter (EKF). This paper is devoted
to an investigation between UKF and EKF with different feedback control modes in vehicle …

… studied for vehicle state estimation. This paper designs an unscented Kalman filter, standard
MHE, modified MHE and recursive least squares MHE to estimate critical vehicle states, …

… Kalman filter, and aims at achieving full-time vehicle positioning. In this paper, we use Kalman
Filter to … based on the ABS wheel speed and Kalman filtering method. After that, simulation …

… filtering step of the switching Kalman filter/smoother. The unscented transform is used to
obtain a fixed set of samples of the state distribution in the filtering … switching Kalman filter (DS-…

… An example for implementing the Kalman filter is navigation where the vehicle state, position,
and velocity are estimated by using sensor output from an inertial measurement unit (IMU) …