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IJRR
2002
218views more  IJRR 2002»
13 years 6 months ago
Mobile Robot Localization and Mapping with Uncertainty using Scale-Invariant Visual Landmarks
A key component of a mobile robot system is the ability to localize itself accurately and, simultaneously, to build a map of the environment. Most of the existing algorithms are b...
Stephen Se, David G. Lowe, James J. Little
ICRA
2010
IEEE
151views Robotics» more  ICRA 2010»
13 years 5 months ago
Improving indoor navigation of autonomous robots by an explicit representation of doors
— In the last decades, tremendous progress has been made in the field of autonomous indoor navigation for mobile robots. However, these approaches assume the structural part of ...
Matthias Nieuwenhuisen, Jörg Stückler, S...
ISER
2004
Springer
300views Robotics» more  ISER 2004»
14 years 12 days ago
Large-Scale Robotic 3-D Mapping of Urban Structures
This article present results for building accurate 3-D maps of urban environments with a mobile Segway RMP. The goal of this project is to use robotic systems to rapidly acquire 3-...
Michael Montemerlo, Sebastian Thrun
ICRA
2005
IEEE
122views Robotics» more  ICRA 2005»
14 years 19 days 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...
ML
1998
ACM
153views Machine Learning» more  ML 1998»
13 years 6 months ago
Bayesian Landmark Learning for Mobile Robot Localization
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
Sebastian Thrun