… -based adaptive extended Kalman filter technique is presented. The objective is to estimate
the … We design an adaptive neuro-fuzzy extended Kalman filter to minimize the difference …

… environments, the ability to perform simultaneous localization and mapping (SLAM) is …
function, as long as it is invertible (ie, as long as we can fully determine an estimate of the robot-…

… This paper also establishes the framework for using a Kalman filter for state estimation,
providing all relevant mathematical equations for differential drive robot, this technique can be …

… Though in literature, joint PLE and coordinates estimations are … most celebrated technique
for localization and tracking. TNs … Li, "RSS-based location estimation with unknown pathloss …

… The new Lidar- and vehicle sensor based ego-localization and ego-motion estimation scheme
derived in this paper is evaluated using the example test scenario introduced in Section I. …

… Next, in Section 3 we describe the Extended Kalman Filter … FMK method to solve the
localization problem, both global and … the EKF filter when we consider that the FMK estimation is …

… , the extended Kalman filter (EKF)-based algorithms suffer from the colored measurement
noise (CMN) that degrades the localization … Liao, “Mobile location estimator in a rough wireless …

… The main problem experienced in regard of loss of vision is as follows: since it is only the
vision that does positioning, the position estimates tend to diverge fast when the system is blind…

… As we will use an Extended Kalman Filter to estimate the state … the estimation error of the
filtered estimate which is obtained. … the filter diverges when either at some step the localization …

… To understand the problem at hand and to clearly place the new contribution of this work
with respect to state-of-the-art RSS-based localization solutions, the main estimation problems …