DocumentCode :
3414791
Title :
Mobile robot localization using place recognition in outdoor environments with similar scenes
Author :
Mitsuhashi, M. ; Kuroda, Yoshihiro
Author_Institution :
Dept. of Mech. Eng., Meiji Univ., Kawasaki, Japan
fYear :
2011
fDate :
3-7 July 2011
Firstpage :
930
Lastpage :
935
Abstract :
In this paper, we propose a mobile robot localization system using appearance based place recognition. Our system uses appearance based place recognition and dead reckoning with Gyrodometry model. We use theory of the observation likelihood estimation introduced from Fast Appearance Based Mapping (FAB-MAP) for appearance based place recognition. Images collected by a robot produce Bag-of-Words representation and Chow Liu trees. This representation is based on quantized SURF detectors/descriptors. A certain place can be recognized when the image collected matches a reference image coming from the same place in the scene database. In addition, problems of appearance based place recognition techniques are solved by using sensor fusion. Experimental results are presented in an outdoor environment. The proposed localization system can achieve the average robot´s position error within 2% without GPS in an outdoor environment.
Keywords :
image recognition; maximum likelihood estimation; mobile robots; trees (mathematics); Chow Liu trees; FAB-MAP; Gyrodometry model; SURF detectors; appearance based place recognition; bag-of-words representation; dead reckoning; fast appearance based mapping; mobile robot localization; observation likelihood estimation; reference image; sensor fusion; Estimation; Global Positioning System; Mobile robots; Robot sensing systems; Visualization; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2011 IEEE/ASME International Conference on
Conference_Location :
Budapest
ISSN :
2159-6247
Print_ISBN :
978-1-4577-0838-1
Type :
conf
DOI :
10.1109/AIM.2011.6027041
Filename :
6027041
Link To Document :
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