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Paper Abstract and Keywords
Presentation 0000-00-00 00:00
Enhancement of Positional Precision for View Based Navigation Using SURF Descriptors
Yoshinobu Hagiwara, Hiroki Imamura, Choi Yongwoon, Kazuhiro Watanabe (Soka Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a reliable method for view-based navigation of mobile robots fully improved in positional accuracy by using feature-points extracted by SURF, and it is verified from the navigation experiments of them. In experiments conducted in an indoor corridor with a robot for comparing the proposed method to conventional one, the positional precision was obtained in centimeter-order of within 10.0 [cm]. It suggests that the proposed method is applied to the view-based navigation for robots in such narrow areas as obstacle avoidance and corridors.
Keyword (in Japanese) (See Japanese page) 
(in English) Robot Vision / View Based Navigation / SURF / Robot Navigation / / / /  
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Conference Information
Committee IEICE-ITS IEICE-IE AIT HI ME  
Conference Date 2011-02-21 - 2011-02-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido University 
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To IEICE-IE 
Conference Code 2011-02-ITS-IE-AIT-HI-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Enhancement of Positional Precision for View Based Navigation Using SURF Descriptors 
Sub Title (in English)  
Keyword(1) Robot Vision  
Keyword(2) View Based Navigation  
Keyword(3) SURF  
Keyword(4) Robot Navigation  
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1st Author's Name Yoshinobu Hagiwara  
1st Author's Affiliation Soka University (Soka Univ.)
2nd Author's Name Hiroki Imamura  
2nd Author's Affiliation Soka University (Soka Univ.)
3rd Author's Name Choi Yongwoon  
3rd Author's Affiliation Soka University (Soka Univ.)
4th Author's Name Kazuhiro Watanabe  
4th Author's Affiliation Soka University (Soka Univ.)
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Date Time 0000-00-00 00:00:00 
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Registration for IEICE-IE 
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Volume (vol) vol.35 
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