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» Probabilistic Mapping of an Environment by a Mobile Robot
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ICRA
2008
IEEE
149views Robotics» more  ICRA 2008»
14 years 1 months ago
Monocular range sensing: A non-parametric learning approach
Abstract— Mobile robots rely on the ability to sense the geometry of their local environment in order to avoid obstacles or to explore the surroundings. For this task, dedicated ...
Christian Plagemann, Felix Endres, Juergen Michael...
CRV
2011
IEEE
352views Robotics» more  CRV 2011»
12 years 7 months ago
Conformative Filter: A Probabilistic Framework for Localization in Reduced Space
— Algorithmic problem reduction is a fundamental approach to problem solving in many fields, including robotics. To solve a problem using this scheme, we must reduce the problem...
Chatavut Viriyasuthee, Gregory Dudek
IROS
2007
IEEE
189views Robotics» more  IROS 2007»
14 years 1 months ago
Person following with a mobile robot using binocular feature-based tracking
Abstract— We present the Binocular Sparse Feature Segmentation (BSFS) algorithm for vision-based person following with a mobile robot. BSFS uses Lucas-Kanade feature detection an...
Zhichao Chen, Stanley T. Birchfield
VMV
2003
203views Visualization» more  VMV 2003»
13 years 8 months ago
Semantic Scene Analysis of Scanned 3D Indoor Environments
Precise digital 3D models of indoor environments are needed in several applications, e.g., facility management, architecture, rescue and inspection robotics. This paper presents a...
Andreas Nüchter, Hartmut Surmann, Kai Lingema...
IJCV
2007
140views more  IJCV 2007»
13 years 7 months ago
Omnidirectional Vision Based Topological Navigation
Abstract. In this work we present a novel system for autonomous mobile robot navigation. With only an omnidirectional camera as sensor, this system is able to build automatically a...
Toon Goedemé, Marnix Nuttin, Tinne Tuytelaa...