… real-time localization approach to estimate the position and … the dynamic model, an Extended
Kalman Filter (EKF) driven … not only can accurately localize the endoscopic capsule but …

… filter for SLAM [10]. In EKF SLAM, a map (x,Σ) includes the state distribution x to be estimated,
which consists of the current vehicle location … the precision in the estimation. EKF SLAM is …

… We now apply the IEKF to the practically relevant problem of estimating the velocity and
attitude of a moving rigid body, eg an aircraft, from Global Positioning System (GPS) velocity, …

… estimation sensors such as GPS, IMU and odometers. The individual use of these sensors
has specific disadvantages: GPS cannot provide accurate position estimation … estimation of …

… for acoustic source localization based on time delay of arrival (TDOA) estimation. In earlier
work … here a brief derivation of the general extended Kalman filter (EKF). This development is …

… are given prior, the estimations of objects positioning are correlated and strongly influenced
by … estimate using Extended Kalman Filter (EKF). The filter update equation is evaluated as: …

… of Kalman Filter (KF) is used to enhance the localization accuracy of a given VN over VANETs
by integrating RSSI and SINR; this integration makes it possible to estimate location of the …

… n ( Δ θ ) (14) where n is the n-th positioning estimation, I i , n S M P is the total matching index
… d is the distance from the positioning estimate P dr , n to the candidate road segment, and it …

… requirement of mobile robot localization is to know … extended Kalman filter is an excellent
tool to estimate the robot’s posture in its work environment. Traditional extended Kalman filter …

… noisy data from several sensors or need the estimation of an optimal state vector in systems
… extended KF (EKF) for mobile robot (MR) indoor navigation fusing the relative positioning …