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» Efficient distributed resampling for particle filters
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ICASSP
2011
IEEE
12 years 8 months ago
Efficient distributed resampling for particle filters
In particle filtering, resampling is the only step that cannot be fully parallelized. Recently, we have proposed algorithms for distributed resampling implemented on architecture...
Balakumar Balasingam, Miodrag Bolic, Petar M. Djur...
ICRA
2005
IEEE
210views Robotics» more  ICRA 2005»
13 years 10 months ago
Improving Grid-based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling
— Recently Rao-Blackwellized particle filters have been introduced as effective means to solve the simultaneous localization and mapping (SLAM) problem. This approach uses a par...
Giorgio Grisetti, Cyrill Stachniss, Wolfram Burgar...
ECAI
2006
Springer
13 years 8 months ago
Smoothed Particle Filtering for Dynamic Bayesian Networks
Particle filtering (PF) for dynamic Bayesian networks (DBNs) with discrete-state spaces includes a resampling step which concentrates samples according to their relative weight in ...
Theodore Charitos
CRV
2006
IEEE
192views Robotics» more  CRV 2006»
13 years 8 months ago
Design and analysis of a framework for real-time vision-based SLAM using Rao-Blackwellised particle filters
This paper addresses the problem of simultaneous localization and mapping (SLAM) using vision-based sensing. We present and analyse an implementation of a RaoBlackwellised particl...
Robert Sim, Pantelis Elinas, Matt Griffin, Alex Sh...
ICASSP
2011
IEEE
12 years 8 months ago
Optimal SIR algorithm vs. fully adapted auxiliary particle filter: A matter of conditional independence
Particle filters (PF) and auxiliary particle filters (APF) are widely used sequential Monte Carlo (SMC) techniques. In this paper we comparatively analyse the Sampling Importanc...
François Desbouvries, Yohan Petetin, Emmanu...