General papers

The Estimation Theoretic Sensor Bias Correction Problem in Map Aided Localization: Linthotage Dushantha Lochana Perera, Wijerupage Sardha Wijesoma, and Martin David Adams; The International Journal of Robotics Research 2006; 25; 645.

Particle filtering

KLD-sampling: Adaptive particle filters and mobile robot localization: Dieter Fox
Multiple object tracking with kernel particle filter: Cheng Chang, R. Ansari, and A. Khokhar; IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005. 566-573 vol. 1

Study on GPS attitude determination system aided INS using adaptive Kalman filter: Hongwei Bian et al 2005 Meas. Sci. Technol. 16 2072-2079 doi:10.1088/0957-0233/16/10/024
A Java Tool for Exploring State Estimation using the Kalman Filter: Declan Delaney and Tomas Ward. ISSC 2004, Belfast
Implementation of an adaptive EKF to multiple low cost navigation sensors in wheeled mobile robots Ashokaraj, I.A.R.; Silson, P.M.G.; Tsourdos, A.; White, B.A. Control, Automation, Robotics and Vision, 2002. ICARCV 2002. 7th International Conference on Volume 2, Issue , 2-5 Dec. 2002 Page(s): 608 - 612 vol.2
On the identification of variances and adaptive Kalman filtering Mehra, R. Automatic Control, IEEE Transactions on Volume 15, Issue 2, Apr 1970 Page(s): 175 - 184
Robust adaptive Kalman filtering with unknown inputs Moghaddamjoo, A.; Kirlin, R.L. Acoustics, Speech, and Signal Processing [see also IEEE Transactions on Signal Processing], IEEE Transactions on Volume 37, Issue 8, Aug 1989 Page(s):1166 - 1175
A Rare-Update Sigma-Point Kalman Filter as Parameter Estimator Modelling, Identification, and Control ~MIC 2005~
Sigma-Point Kalman Filters for Probabilistic Inference in Dynamic State-Space Models Rudolf van der Merwe & Eric Wan, in Proc. Workshop on Advances in Machine Learning 2003.
Unscented Filtering and Nonlinear Estimation SIMON J. JULIER, MEMBER, IEEE, AND JEFFREY K. UHLMANN, MEMBER, IEEE PROCEEDINGS OF THE IEEE, VOL. 92, NO. 3, MARCH 2004