… -LSTM (PF-3CL) model to predict vehicle position. The main … , GLI is adopted to predict
vehicle position, and PF and 3D … each possible vehicle position for accuracy position prediction. …

… modeling is to effectively reduce the updating frequency of the position data so as to alleviate
the … vehicle position data updating strategy with packet repetition based on Kalman filter …

… Therefore, in this paper, dynamic vehicle characteristics such as lateral force and tire …
filter-based positioning algorithm that considers the variety of driving conditions in which a vehicle …

… Kalman Filter (EKF), which is able to predict a set of possible scenarios for vehicle future …
In this paper, however, our aim is to predict a vehicle position within a communication range …

… filtering techniques for vehicles tracking. A recursive solution to the discrete-data linear filtering
… The Kalman Filter as an estimation tool can accurately predict the state of linear random …

… To be able to obtain an estimation for the location of a vehicle 3 s later in time, we need
to run the prediction steps of the KF system with ∆k set to 3 s and use the IMM to obtain the …

… A switching strategy is designed to switch between Kalman filter prediction (dead reckoning)
and a correction model to eliminate the effect of correlated error and enhance the stability of …

… Especially, to guarantee accurate position estimation of the … proposed to predict the increment
of the vehicle position based … together to optimize vehicle positioning accuracy during GPS …

… In the prediction block, the process model is a bicycle model. Contrary to the commonly …
between the position estimated by the filter and GPS measurement, we would like the filter to …

… the position and motion of the ego-vehicle and vehicles around it … study a long-term prediction
approach based on a combined … for prediction intervals of 1, 2, and 3 s for the particle filter …