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» Bayesian Landmark Learning for Mobile Robot Localization
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IJCV
2007
147views more  IJCV 2007»
13 years 7 months ago
Vision-Based SLAM: Stereo and Monocular Approaches
Building a spatially consistent model is a key functionality to endow a mobile robot with autonomy. Without an initial map or an absolute localization means, it requires to concurr...
Thomas Lemaire, Cyrille Berger, Il-Kyun Jung, Simo...
CLEF
2010
Springer
13 years 8 months ago
Visual Localization Using Global Visual Features and Vanishing Points
Abstract. This paper describes a visual localization approach for mobile robots. Robot localization is performed as location recognition. The approach uses global visual features (...
Olivier Saurer, Friedrich Fraundorfer, Marc Pollef...
CAIP
2005
Springer
159views Image Analysis» more  CAIP 2005»
13 years 9 months ago
Global Color Image Features for Discrete Self-localization of an Indoor Vehicle
Abstract. In autonomous indoor navigation some number of localizations and orientations of the vehicle can be learned in advance. No artificial landmarks are required to exist. We...
Wlodzimierz Kasprzak, Ewa Wojciech Szynkiewicz, Mi...
IROS
2009
IEEE
186views Robotics» more  IROS 2009»
14 years 2 months ago
A statistical approach to gas distribution modelling with mobile robots - The Kernel DM+V algorithm
— Gas distribution modelling constitutes an ideal application area for mobile robots, which – as intelligent mobile gas sensors – offer several advantages compared to station...
Achim J. Lilienthal, Matteo Reggente, Marco Trinca...
AR
2005
138views more  AR 2005»
13 years 7 months ago
On actively closing loops in grid-based FastSLAM
Acquiring models of the environment belongs to the fundamental tasks of mobile robots. In the past, several researchers have focused on the problem of simultaneous localization an...
Cyrill Stachniss, Dirk Hähnel, Wolfram Burgar...