… extended Kalman filter approach to estimate the location … location of a manoeuvering UAV
that has lost the GPS signal can be determined to an accuracy of within 40m of its true location …

… use the Kalman filter algorithm to linearize the model. In this article, we use the EKF 38
algorithm to locate the … Then, the particle filter algorithm is used to solve the localization problem. …

… method. In this article, we propose a new localization system to enhance the localization …
The proposed localization system uses the extended Kalman filter combined with infrared …

… is chosen is a method to combine local traffic data with the model. A popular method that
does so is the extended Kalman filter (EKF). This not only provides a way to use traffic data to …

… 3, we describe our extended Kalman filter (EKF) [3] ROS node, ekf_localization_node. Section
4 … 6 concludes with applications to other platforms and details plans for extending both …

… to vehicle localization. … extended Kalman filter (IEKF) using an adaptation mechanism to
eliminate the influence of noises in MEMS-INS and mitigate dependence on the process model. …

… study on extended Kalman filter (EKF)-based mobile robot localization with intermittent …
that the mobile robot can effectively estimate its location in an environment. This paper presents …

… method for positioning problems is the extended Kalman … Kalman filter has also been used
for GPS positioning [13]. The … the unscented Kalman filter over the extended Kalman filter for …

… including Kalman filter and its variants are inapplicable, since an explicit RSS-location …
framework by using an extended Kalman filter (EKF) to integrate WiFi localization with PDR. …

… positioning technique with the function of AOA selection for indoor UWB systems is presented.
The positioning … by using unbiased or biased Kalman filters for estimation of the LOS TOA (…