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ICRA
2005
IEEE
122views Robotics» more  ICRA 2005»
14 years 2 months ago
Supervised Learning of Places from Range Data using AdaBoost
— This paper addresses the problem of classifying places in the environment of a mobile robot into semantic categories. We believe that semantic information about the type of pla...
Óscar Martínez Mozos, Cyrill Stachni...
ICRA
2000
IEEE
89views Robotics» more  ICRA 2000»
14 years 28 days ago
A Localization Method Based on Two Omnidirectional Perception Systems Cooperation
This paper deals with an absolute localization paradigm based on the cooperation of an omnidirectional vision system and a low cost panoramic range finder system. These two percep...
Arnaud Clerentin, Laurent Delahoche, Claude P&eacu...
ICRA
2010
IEEE
108views Robotics» more  ICRA 2010»
13 years 7 months ago
Robust place recognition for 3D range data based on point features
Abstract— The problem of place recognition appears in different mobile robot navigation problems including localization, SLAM, or change detection in dynamic environments. Wherea...
Bastian Steder, Giorgio Grisetti, Wolfram Burgard
RAS
2010
136views more  RAS 2010»
13 years 7 months ago
A realistic benchmark for visual indoor place recognition
An important competence for a mobile robot system is the ability to localize and perform context interpretation. This is required to perform basic navigation and to facilitate loc...
Andrzej Pronobis, Barbara Caputo, Patric Jensfelt,...
JFR
2008
103views more  JFR 2008»
13 years 8 months ago
Monte Carlo localization in outdoor terrains using multilevel surface maps
We propose a novel combination of techniques for robustly estimating the position of a mobile robot in outdoor environments using range data. Our approach applies a particle filte...
Rainer Kümmerle, Rudolph Triebel, Patrick Pfa...