Unscented Kalman Filter

By P. Zarchan, H. Musoff. 2015

466 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Artificial Intelligence, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/1a4631492fd5f42cac17b8cd5a8fb326fa0b518b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Krishna V. Shenoy
2. Maneesh Sahani
3. Byron M. Yu
4. Andrew Gordon Wilson
5. Hannes Nickisch

In Artificial Intelligence

1. Krishna V. Shenoy
2. Maneesh Sahani
3. Byron M. Yu
4. Yarin Gal
5. Richard E. Turner
6. Andrew Gordon Wilson
7. Zoubin Ghahramani
8. Hannes Nickisch

In Statistical and Nonlinear Physics

1. Krishna V. Shenoy
2. Maneesh Sahani
3. Byron M. Yu

Citations in the corpus

• Expectation Propagation for Inference in Non-Linear Dynamical Models with Poisson Observations (2006, methodology): “The UKS requires computing and inverting a predicted observation covariance Pyy ∈ Rq×q [2, 3, 10].”
• Load Modeling—A Review (2018, unknown): “Reference [111] applied the unscented Kalman filter [112] to perform real-time estimation of the ERL model parameters.”