… Kalman estimator is applicable only through some alternatives among which the Extended
Kalman filter (EKF), the Unscented Kalman Filter (… We have compared these filters using the …

… fact that the true position of the vehicle is located around the … new Kalman observation with
its estimated associated error. … observation to be used in the Kalman filter. In Section 4, we …

… particle filter for pose estimation. The lidar and radar are fused using the unscented Kalman
filter … suited to serve as landmarks for vehicle localization in urban environments. These pose …

… In this article, a novel vehicle localization with adaptive IEKF and … -of-the-art methods for
vehicle localization in changeable … Accurate cooperative vehicle localization via the use of vehic…

… 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. …

… maximum likelihood Kalman filtering (MLKF). We … vehicle measurements improves the
localization accuracy by about 60%. Experiments also show that the MLKF achieves a localization …

… the one of a Kalman filter if we consider the 3σ bounds outputted by the filter. It's quite natural
… the precision is near to the one of the Kalman filter. Moreover, this last can be mistaken in …

… In this GPS-based localization [2]. However, a conventional Kalman work, we propose an
adaptive filter for vehicle localization …

In this paper, we propose a cost-effective localization solution for land vehicles, which can
simultaneously adapt to the uncertain noise of inertial sensors and bridge Global Positioning …

… Kalman filter for a loosely-coupled integration of GPS and INS. The INS is taken from Groves’
textbook [6], along with the base Kalman filter … for both the conventional Kalman filter, where …