Unscented Filtering and Nonlinear Estimation
The extended Kalman filter (EKF) is probably the most widely used estimation algorithm for nonlinear systems. However, more than 35 years of experience in the estimation communi...
Publications
3 shownNew extension of the Kalman filter to nonlinear systems
The Kalman Filter (KF) is one of the most widely used methods for tracking and estimation due to its simplicity, optimality, tractability and robustness. However, the applicatio...
The scaled unscented transformation
This paper describes a generalisation of the unscented transformation (UT) which allows sigma points to be scaled to an arbitrary dimension. The UT is a method for predicting me...
Frequent Co-Authors
Researcher Info
- h-index
- 3
- Publications
- 3
- Citations
- 12,532
- Institution
- University of Oxford
External Links
Identifiers
- ORCID
- 0000-0003-4380-137X
Impact Metrics
h-index
3
h-index: Number of publications with at least h citations each.