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» Covisibility-Based Map Learning Method for Mobile Robots
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ICRA
2005
IEEE
138views Robotics» more  ICRA 2005»
14 years 1 months ago
Urban Object Recognition from Informative Local Features
Abstract— Autonomous mobile agents require object recognition for high level interpretation and localization in complex scenes. In urban environments, recognition of buildings mi...
Gerald Fritz, Christin Seifert, Lucas Paletta
ICRA
2005
IEEE
122views Robotics» more  ICRA 2005»
14 years 1 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...
IROS
2007
IEEE
146views Robotics» more  IROS 2007»
14 years 2 months ago
Capturing robot workspace structure: representing robot capabilities
— Humans have at some point learned an abstraction of the capabilities of their arms. By just looking at the scene they can decide which places or objects they can easily reach a...
Franziska Zacharias, Christoph Borst, Gerd Hirzing...
ICRA
2010
IEEE
151views Robotics» more  ICRA 2010»
13 years 6 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...
ICRA
2009
IEEE
113views Robotics» more  ICRA 2009»
14 years 2 months ago
Visual topological SLAM and global localization
— Visual localization and mapping for mobile robots has been achieved with a large variety of methods. Among them, topological navigation using vision has the advantage of offeri...
Adrien Angeli, Stéphane Doncieux, Jean-Arca...