… ) of nonlinear filtering problems. Here, we take the local approach to build a new filter,
which we have named the cubature Kalman filter (CKF). It is known that the Bayesian filter is …

… The cubature Kalman filter (CKF), which is based on the third degree spherical–radial cubature
rule, is numerically more stable than the unscented Kalman filter (UKF) but less accurate …

… Cubature Kalman Filter (CKF) is revisited, as well as its extensions for higher degrees of
precision. In this sense, some stable (with respect to the dimension) cubature … All these cubature …

… a new nonlinear filter named the cuba- ture Kalman filter (CKF)… cubature Kalman gain. •
The square-root CD-CKF closely resembles the squareroot formulation of the linear Kalman filter …

… Property 5: The cubature Kalman filter inherits properties of the linear Kalman filter,
including square-root filtering for improved accuracy and reliability. … • The cubature …

… cubature Kalman filter (CKF) is a relatively new addition to derivative-free approximate
Bayesian filters … state estimator is named the fixed-interval cubature Kalman smoother (FI-CKS). …

… This paper focuses on the cubature Kalman filters (CKFs) for the nonlinear dynamic …
cubature rule which makes it possible to compute the integrals encountered in nonlinear filtering …

… cubature and Gauss–Laguerre quadrature rule for non-linear state estimation problems.
The proposed filter, referred as cubature quadrature Kalman filter (… cubature Kalman filter (CKF). …

… Most SLAM algorithms are based on extended Kalman filters (EKFs). … filters, unscented
Kalman filters (UKFs), etc for SLAM. In this paper, we propose the use of a cubature Kalman filter (…

… interpolatory cubature rule. Existing cubature Kalman filter and unscented Kalman filter can
… we devote to further improving the filtering accuracy, and interpolatory cubature rule (ICR) is …