… also on the accurate estimation of vehicle state. However, some … Kalman filter (DEKF) for
vehicle state estimation and vehicle parameter estimation, which made use of two Kalman filters …

… 1 and 2), where the estimated future position of the vehicles will not be a straight path. It is …
to predict the trajectory of vehicles in all different scenarios. This is where the Kalman filter (KF…

… of possible future trajectories can exit depending on the current state of vehicle motion. In …
Extended Kalman Filter (EKF), which is able to predict a set of possible scenarios for vehicle …

… In short, the filter is used to deduce target motion parameters, such as its position and …
whose trajectory is solely governed by motion equations. In this paper, an extended Kalman filter (…

… an effective method for trajectory smoothing using the adaptive Kalman filter. The proposed
… optimizing vehicle trajectories from roadside lidar data by applying the adaptive Kalman filter…

… constraints of vehicles. In this paper, a novel cooperative vehicle trajectory prediction strategy
… combined with an innovatively designed Kalman filter. The fusion strategy provides both …

… Continuous vehicle trajectories cannot be obtained. To overcome the above problems, this
… an unscented Kalman filter (UKF)-based method to reconstruct the trajectories at signalized …

… : (1) Aiming for signalized arterials, a hybrid approach integrating Kalman Filtering (KF)
and VT is proposed to reconstruct the vehicle trajectory of fully-sampled traffic flow; (2) The …

… In this paper, we investigate the performance of two different adaptive Kalman filters for
vehicle navigation using GPS, one based on the fading memory and one based on the variance …

… 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. …