- Here at UNC we are using an Kalman filters and related estimators to track users' heads and limbs in virtual environments. See for example our 1997 ACM SIGGRAPH paper and our 2001 Presence journal article.
- Simon Julier and Jeff Uhlmann have done some great work on nonlinear filtering. In particular check out A New Extension of the Kalman Filter to Nonlinear Systems,” SPIE AeroSense Symposium, 2124 April, 1997. Orlando, FL, SPIE. In addition here are some other papers on non-linear filtering work by Simon and Jeff.
- The kalman filter has been used extensively for data fusion in navigation, but Joost van Lawick shows an example of scene modeling with an extended Kalman filter.
- Hugh Durrant-Whyte and researchers at the Australian Centre for Field Robotics do all sorts of interesting and impressive research in data fusion, sensors, and navigation. Browse their publications for related articles.
- From Zhengyou Zhang's Image and Vision Computing Journal paper (1996) "Parameter Estimation Techniques: A Tutorial with Application to Conic Fitting" (PDF version) some information about the Kalman filter as applied to image processing.
- The Danish organization DHI, maintains a relevant site on their Data Assimilation in Hydrological and Hydrodynamic Models project. There you will find results of their work, publications, and their DAIHM Matlab toolbox. (See above in "Software" for more information.)
- Dr. Stephen Pollock (Department of Economics, Queen Mary, University of London) is investigating the use of signal processing and stochastic estimation in economics. For example, he is investigating the use of filters (including the Kalman filter) on short non-stationary econometric data sequences to extract such components as the trends and seasonal fluctuations.
- For another example of the Kalman filter used in Economics, check out the Johnson and Sakoulis article "Maximizing Equity Market Sector Predictability in a Bayesian Time Varying Parameter Model." (See http://ssrn.com/abstract=396642.)
- Bjarne Hansen and colleagues at the Meteorological Service of Canada (Français) are working on an "Ensemble Kalman Filter" (Français) for assimilation of observations in atmospheric models.
- Jan Kybic's 1998 research report Kalman Filtering and Speech Enhancement details his work aimed at suppression of noise in a running car environment for hands-free mobile telephony. (Thanks to Richard Kilgour at Navman for suggesting this.)
- NASA is hosting a technical report of historical interest: McGee and Schmidt, Discovery of the Kalman Filter as a Practical Tool for Aerospace and Industry, November 1985, NASA-TM-86847. This says it is an expanded version of Schmidt's 1981 invited paper in the AIAA Journal of Guidance: The Kalman filter---Its recognition and development for aerospace applications, SCHMIDT, S. F. (Analytical Mechanics Associates, Inc., Mountain View, Calif.) Journal of Guidance, Control, and Dynamics, Vol. 4, No. 1, pp. 4-7, 1981. Thanks to Ed Mirmak for pointing this out.
- Michael Munroe (Intel Corporation), Ted Hench (Arizone State University) and Matthew Timmons (ASU), have made available un unpublished article on "Sales Rate and Cumulative Sales Forecasting Using Kalman Filtering Techniques."