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ICRA
2005
IEEE
210views Robotics» more  ICRA 2005»
13 years 11 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...
IEEEPACT
2007
IEEE
13 years 11 months ago
L1 Cache Filtering Through Random Selection of Memory References
Distinguishing transient blocks from frequently used blocks enables servicing references to transient blocks from a small fully-associative auxiliary cache structure. By inserting...
Yoav Etsion, Dror G. Feitelson
ICRA
2008
IEEE
134views Robotics» more  ICRA 2008»
13 years 11 months ago
An optimal filtering algorithm for non-parametric observation models in robot localization
— The lack of a parameterized observation model in robot localization using occupancy grids requires the application of sampling-based methods, or particle filters. This work ad...
Jose-Luis Blanco, Javier Gonzalez, Juan-Antonio Fe...
AAAI
2008
13 years 7 months ago
Reducing Particle Filtering Complexity for 3D Motion Capture using Dynamic Bayesian Networks
Particle filtering algorithms can be used for the monitoring of dynamic systems with continuous state variables and without any constraints on the form of the probability distribu...
Cédric Rose, Jamal Saboune, François...
CRV
2006
IEEE
192views Robotics» more  CRV 2006»
13 years 9 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...