… The extended Kalman filter is used for nonlinear estimation. The IMM is employed as a …
extended Kalman filtering with the IMM scheme for accurately smooth range estimation between …

… With these three models plus an estimator engine we are able to build an automated solution
to SLAM. The estimator … In the case of this course, an extended Kalman filter (EKF) is used. …

… Extended Kalman Filter (EKF) to estimate a … estimate, and (ii) the use of relative location
information from robot to landmarks to update the absolute robot and landmark location estimates…

… A novel 3D localization algorithm capable of high precision 3D positioning based on
phase evaluation is presented in this paper. The Kalman filter implementation offers lower …

… The EKF is a Kalman Filter estimator in which the nonlinear kinematic and observation
models are transformed into linear models using the Taylor expansion to update the covariance (…

… Second, the state of the linearized system is estimated using the Kalman filter for general
linear systems. The EKF algorithm demands a priori noises statistic characters, including the …

… adaptive Kalman filtering algorithm for simultaneous localization and mapping of mobile
robots or vehicles, which attempts to estimate the … By employing a mobile robot to localize and …

… In this paper a new, faster and much more scalable version of the Extended Kalman Filter
is proposed, which is tested in combination with the LWR model solved by the Godunov …

… The AOA and TDOA information are processed centrally by the extended Kalman filter (EKF)
for MS positioning and tracking. The architecture of location estimator is illustrated in Fig. …

… implementation of a centralized Extended Kalman Filter for cooperative localization. In this …
its estimates to match that of a centralized Extended Kalman Filter for cooperative localization. …