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AUTOMATICA
2008
92views more  AUTOMATICA 2008»
13 years 4 months ago
Box particle filtering for nonlinear state estimation using interval analysis
In recent years particle ...lters have been applied to a variety of state estimation problems. A particle ...lter is a sequential Monte Carlo Bayesian estimator of the posterior d...
Fahed Abdallah, Amadou Gning, Philippe Bonnifait
CORR
2010
Springer
102views Education» more  CORR 2010»
13 years 4 months ago
Error Analysis of Approximated PCRLBs for Nonlinear Dynamics
In practical nonlinear filtering, the assessment of achievable filtering performance is important. In this paper, we focus on the problem of how to efficiently approximate the post...
Ming Lei, Pierre Del Moral, Christophe Baehr
GLOBECOM
2008
IEEE
13 years 11 months ago
Guaranteed Boxed Localization in MANETs by Interval Analysis and Constraints Propagation Techniques
Abstract—In this contribution, we propose an original algorithm for self-localization in mobile ad-hoc networks. The proposed technique, based on interval analysis, is suited to ...
Farah Mourad, Hichem Snoussi, Fahed Abdallah, C&ea...
ICCV
2001
IEEE
14 years 6 months ago
People Tracking Using Hybrid Monte Carlo Filtering
Particle filters are used for hidden state estimation with nonlinear dynamical systems. The inference of 3-d human motion is a natural application, given the nonlinear dynamics of...
Kiam Choo, David J. Fleet
ICASSP
2011
IEEE
12 years 8 months ago
Non-parametric bayesian measurement noise density estimation in non-linear filtering
In this study, we investigate online Bayesian estimation of the measurement noise density of a given state space model using particle filters and Dirichlet process mixtures. Diri...
Emre Özkan, Saikat Saha, Fredrik Gustafsson, ...