4 citations · 5 across the 3 of their papers we have counts for
3 papers
eess.SP2026
Multi-Scaled Unscented Kalman Filter
Amit Levy, Itzik Klein
The unscented Kalman filter (UKF) is a commonly used algorithm capable of estimating the states of nonlinear dynamic systems. It carefully chooses a set of sample points, called si…
cs.RO2025★ 1 cited
Unscented Kalman Filter with a Nonlinear Propagation Model for Navigation Applications
Amit Levy, Itzik Klein
The unscented Kalman filter is a nonlinear estimation algorithm commonly used in navigation applications. The prediction of the mean and covariance matrix is crucial to the stable…
cs.RO2025★ 4 cited
Adaptive Neural Unscented Kalman Filter
Amit Levy, Itzik Klein
The unscented Kalman filter is an algorithm capable of handling nonlinear scenarios. Uncertainty in process noise covariance may decrease the filter estimation performance or even…