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IROS
2006
IEEE
168views Robotics» more  IROS 2006»
14 years 8 days ago
An Entropy-Based Measurement of Certainty in Rao-Blackwellized Particle Filter Mapping
– In Bayesian based approaches to mobile robot simultaneous localization and mapping, Rao-Blackwellized particle filters (RBPF) enable the efficient estimation of the posterior b...
Jose-Luis Blanco, Juan-Antonio Fernandez-Madrigal,...
RAS
2007
102views more  RAS 2007»
13 years 5 months ago
Fast and accurate SLAM with Rao-Blackwellized particle filters
Rao-Blackwellized particle filters have become a popular tool to solve the simultaneous localization and mapping problem. This technique applies a particle filter in which each ...
Giorgio Grisetti, Gian Diego Tipaldi, Cyrill Stach...
ICRA
1999
IEEE
126views Robotics» more  ICRA 1999»
13 years 10 months ago
Monte Carlo Localization for Mobile Robots
Mobile robot localization is the problem of determining a robot's pose from sensor data. This article presents a family of probabilisticlocalization algorithms known as Monte...
Frank Dellaert, Dieter Fox, Wolfram Burgard, Sebas...
CRV
2006
IEEE
192views Robotics» more  CRV 2006»
13 years 10 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...
ROBOCUP
2007
Springer
180views Robotics» more  ROBOCUP 2007»
14 years 11 days ago
Improving Robot Self-localization Using Landmarks' Poses Tracking and Odometry Error Estimation
In this article the classical self-localization approach is improved by estimating, independently from the robot’s pose, the robot’s odometric error and the landmarks’ poses....
Pablo Guerrero, Javier Ruiz-del-Solar