… positioning of intelligent vehicles in … intelligent vehicles in uncertain abnormal noise
interference environments. Therefore, this paper proposes an adaptive robust federated Kalman filter …

… Kalman filter as the fusion method in an integrated navigation information system [12]. An
unscented Kalman filter … of the unscented Kalman filter over the extended Kalman filter for an …

… use of Kalman filters to … Kalman filters are frequently insufficient for state estimation, particularly
non-linear systems [67]. The extended Kalman filter (EKF) is a variant of the Kalman filter …

… filters significantly outperform the R-IMM and the E-RIMM. Like the incorporation of computational
intelligence … ]), the FM-REKF is obtained from intelligent tuning of measurement noise …

… The Kalman filter algorithm makes an intelligent estimate about actual temperature Tt+1 at
time t + 1 using internal prediction and current sensor readings. Firstly, predicted temperature …

… - Kalman filter followed by a neuromorphic alternative. … Art - Kalman Filter: Kalman filter [32],
[33] and it’s variants such as unscented Kalman filter [34], [35], steady state Kalman filter [36] …

… Multiple targets tracking is a major issue in the intelligent … intelligence and reduce human
error. In this paper, a method is proposed based on combining the Extended Kalman Filter (EKF…

… Kalman filtering Furthermore, during satellite signals outage periods, the ORBF aided intelligent
… that can also replace the Kalman filter for an intelligent navigation information support. …

… means the conventional Kalman filter cannot work stably for high… Therefore, a self-learning
Kalman without constellation … for Kalman filter updating, which makes Kalman filter self-learn …

… A variation of the Kalman filter called an implicit Kalman filter … The reason in choosing this
type of Kalman filter is the … properties of the implicit Kalman filter model that are relevant for the …