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» Speeding-up Rao-blackwellized SLAM
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IROS
2006
IEEE
168views Robotics» more  IROS 2006»
14 years 21 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,...
ICRA
2006
IEEE
123views Robotics» more  ICRA 2006»
14 years 22 days ago
Simultaneous Localization and Mapping with Environmental Structure Prediction
—Traditionally, simultaneous localization and mapping (SLAM) algorithms solve the localization and mapping problem in explored regions. This paper presents a prediction-based SLA...
H. Jacky Chang, C. S. George Lee, Yung-Hsiang Lu, ...
ICRA
2008
IEEE
116views Robotics» more  ICRA 2008»
14 years 1 months ago
A pure probabilistic approach to range-only SLAM
— Range-Only SLAM represents a difficult problem due to the inherent ambiguity of localizing either the robot or the beacons from distance measurements only. Most previous appro...
Jose-Luis Blanco, Javier Gonzalez, Juan-Antonio Fe...
ICRA
2006
IEEE
139views Robotics» more  ICRA 2006»
14 years 21 days ago
Towards Particle Filter SLAM with Three Dimensional Evidence Grids in a Flooded Subterranean Environment
Abstract— This paper describes the application of a RaoBlackwellized Particle Filter to the problem of simultaneous localization and mapping onboard a hovering autonomous underwa...
Nathaniel Fairfield, George Kantor, David Wettergr...
ICRA
2003
IEEE
103views Robotics» more  ICRA 2003»
13 years 12 months ago
Simultaneous localization and mapping with unknown data association using fastSLAM
— The Extended Kalman Filter (EKF) has been the de facto approach to the Simultaneous Localization and Mapping (SLAM) problem for nearly fifteen years. However, the EKF has two ...
Michael Montemerlo, Sebastian Thrun