… vehicle sensors consist of wheel speed sensors, steering angle encoder, and a fiber optic
gyro. We fuse these in an extended Kalman filter. … 1 shows the locations of the VS and the GPS …

… -matching a vehicle location to the underlying road map [1]. Their method consists of a
Kalman filter with a novel method to minimize the biased error of GPS after the vehicles makes a …

… ‘best’ Kalman filter solution, or the algorithm can be used to combine the output from all the
Kalman filters in … burden imposed by running multiple Kalman filters. However, with improved …

… and the type of the vehicle since a faster or heavier vehicle will need more time to … location
of the vehicle 1 s later in time. To be able to obtain an estimation for the location of a vehicle 3 …

… new Kalman observation with its estimated associated error. … GPS observation to be used in
the Kalman filter. In Section 4, we discuss … They require the initial location of the vehicle to be …

… A Kalman lter using encoder readings as inputs and vision measurements as observations
is designed as a location estimator for an autonomously guided vehicle (AGV). To reduce the …

… location of a vehicle accurately in VANETs. To explore the capabilities in terms of reliable
performances of Kalman filter in predicting future location of a vehicle, … using Kalman filter and …

… kernel-related object tracking algorithm based on Kalman filter and motion model proposed
in this paper, overlap region accuracy (OR) and center location error (CLE) are selected for …

… Example 1: To simplify the example and better highlight the property, we assume a static
localization setup with a single vehicle, ie, we assume that there is a vehicle located at a fixed …

… location prediction algorithm for a nonlinear vehicular movement using extended Kalman filter
… MALM practices the historical data and KF to compute the vehicle location. Theodoros et al…