DocumentCode :
3017061
Title :
Indoor SLAM using a range-augmented omnidirectional vision
Author :
Cortes, B. Bacca ; Solé, X. Cufí ; Salví, J.
Author_Institution :
Univ. del Valle, Univ. of Girona, Girona, Spain
fYear :
2011
fDate :
6-13 Nov. 2011
Firstpage :
280
Lastpage :
287
Abstract :
A promising combination of sensors as a laser range finder and an omnidirectional camera can be used to extract rich 3D information from indoor environments for robot mapping and localization. This paper presents an implementation of FastSLAM using 3D vertical edges retrieved from a range-augmented omnidirectional vision sensor. Our sensor model in conjunction with the FastSLAM algorithm solves the indoor Simultaneous Localization and Mapping problem. The real world experiment to validate our approach used a Pioneer-3DX mobile robot equipped with a URG-04LX laser range finder and an omnidirectional camera.
Keywords :
SLAM (robots); image sensors; laser ranging; mobile robots; robot vision; FastSLAM; Indoor SLAM; Pioneer-3DX mobile robot; URG-04LX laser range finder; omnidirectional camera; range-augmented omnidirectional vision sensor; robot mapping; simultaneous localization and mapping problem; Atmospheric measurements; Buildings; Cameras; Feature extraction; Lasers; Simultaneous localization and mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4673-0062-9
Type :
conf
DOI :
10.1109/ICCVW.2011.6130254
Filename :
6130254
Link To Document :
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