Rao-Blackwellized particle filter for multiple target tracking

Author:

Särkkä Simo,Vehtari Aki,Lampinen Jouko

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference29 articles.

1. S. Särkkä, A. Vehtari, J. Lampinen, Rao-Blackwellized Monte Carlo data association for multiple target tracking, in: Proceedings of the Seventh International Conference on Information Fusion, vol. I, 2004, pp. 583–590.

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3. N.J. Gordon, D.J. Salmond, A.F.M. Smith, Novel approach to nonlinear/non-Gaussian Bayesian state estimation, in: IEEE Proceedings on Radar and Signal Processing, vol. 140, 1993, pp. 107–113.

4. Monte Carlo filter and smoother for non-Gaussian nonlinear state space models;Kitagawa;Journal of Computational and Graphical Statistics,1996

5. Sequential Monte Carlo Methods in Practice,2001

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