… with the Robot Localization problem using a certain estimation … Kalman Filter we move on
to the Extended Kalman Filter, finishing with a discussion of the Iterated Extended Kalman Filter…

… extended Kalman filter (EKF) is applied to such systems for state estimation, the outliers can
seriously reduce the estimation … to the problem of mobile robot localization, demonstrating its …

… The Kalman Filter is suitable for the estimation of x and y coordinates of a … the Kalman filter,
the Extended Kalman Filter (EKF) is also carried out in two steps: prediction and estimation. A …

… The simplest approach for estimation of a legged robot’s spatial location and velocity is
kinematic dead-reckoning, otherwise known as kinematic odometry. This involves …

… However, in this work, we improve the estimation accuracy by taking advantage of extra
information, in the form of practical constraints on the NLOS bias bi[k], which is derived in the …

… and maximum likelihood estimation. We will adopt the so-called extended Kalman filter [47]
to … and Kalman filter to resolve the localization problem with a range/angle sensor network. …

… To overcome the issues regarding localization, the authors … named Extended Kalman Filter
(EKF), Unscented Kalman Filter (… location estimates are further used in a PF which estimates …

… extended Kalman filter (AEKF) providing on line estimates of robot position. The use of Kalman
filtering … The extended Kalman filter (EKF) techniques proposed in the literature [8], [10], […

… statistics, the extended Kalman filter (EKF) may produce unacceptable estimates. The iterative
… In this section, we apply the EKF and combined EFIR/Kalman filter that is the EFIR filter in …

… 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 …