… This paper proposes an extended Kalman filter approach to estimate the location of a UAV
when its GPS connection is lost, using inter-UAV distance measurements. The results from a …

… to be estimated from local and noisy sensor data. One of the most widely applied estimation
methods is the Lighthill-Whitham and Richards (LWR) model with an extended Kalman filter …

… quadrotor location estimation … Kalman filtering is presented to fuse the productions of the
ORB-SLAM 2.0, FastSLAM 2.0, and quadrotor location estimation methods, in order to localize …

… This paper presented a method to estimate localization by using multiple sensors fusion
system based on Extended Kalman Filter. The system consists of the omnidirectional camera …

… For the improvement of localization accuracy, a variety of localization … localization
techniques named Extended Kalman Filter (EKF-) based localization, Unscented Kalman Filter …

… It includes LOS and NLOS models to estimate the state with two parallel Kalman filters. …
algorithm and extended Kalman-based IMM to acquire more accurate location estimation in the …

… Besides the proposed localization method, we will fuse these in an extended Kalman filter.
The performance of the localization was verified by simulation and two actual data sets (…

… extended Kalman filter for land navigation positioning system … Kalman filter has also been
used for GPS positioning [13]. … the unscented Kalman filter over the extended Kalman filter for …

… paper evaluates the positioning and tracking performance of Extended Kalman Filter (EKF)
in wireless sensors network. The EKF is a linear approximation of statistical Kalman Filter (KF…

… an explicit RSS-location measurement equation and the … an extended Kalman filter (EKF)
to integrate WiFi localization with … density estimation, which enables accurate WiFi localization …