Presentation 2009-06-18
6DOF-SLAM Using Omnidirectional Stereo Vision with Sub-pixel Estimation
Hiroshi KOYASU, Yamato FURUYA, Ryuichiro FUKASAWA, Hiroshi KAWASAKI, Hitoshi MAEKAWA, Shintaro ONO, Katsushi IKEUCHI,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Simultaneous Localization and Mapping (SLAM) is one of the fundamental function of robots. For the problem, we present a new method based on an omnidirectional stereo system. Although omnidirectional stereo system has a great advantage to acquire 3D-information of surrounding environment at a time, the resolution of the image is not sufficient for accurate depth information. In our method, the accuracy of each range data by the stereo is improved by a sub-pixel estimation of disparities. Then, ICP is applied for aligning the range data during navigation. Finally, once the robot detects loop closure, the estimated error of the ICP is corrected by Kalman smoothing. Experimental results of the method are shown for an indoor environment.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Omnidirectional Stereo / Sub-pixel Estimation / SLAM / Closing Loop
Paper # PRMU2009-43
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Conference Information
Committee PRMU
Conference Date 2009/6/11(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) 6DOF-SLAM Using Omnidirectional Stereo Vision with Sub-pixel Estimation
Sub Title (in English)
Keyword(1) Omnidirectional Stereo
Keyword(2) Sub-pixel Estimation
Keyword(3) SLAM
Keyword(4) Closing Loop
1st Author's Name Hiroshi KOYASU
1st Author's Affiliation Graduate School of Science and Engineering, Saitama Univ.()
2nd Author's Name Yamato FURUYA
2nd Author's Affiliation Graduate School of Science and Engineering, Saitama Univ.
3rd Author's Name Ryuichiro FUKASAWA
3rd Author's Affiliation Graduate School of Science and Engineering, Saitama Univ.
4th Author's Name Hiroshi KAWASAKI
4th Author's Affiliation Graduate School of Science and Engineering, Saitama Univ.
5th Author's Name Hitoshi MAEKAWA
5th Author's Affiliation Graduate School of Science and Engineering, Saitama Univ.
6th Author's Name Shintaro ONO
6th Author's Affiliation Institute of Industrial Science, The Univ. of Tokyo
7th Author's Name Katsushi IKEUCHI
7th Author's Affiliation Institute of Industrial Science, The Univ. of Tokyo
Date 2009-06-18
Paper # PRMU2009-43
Volume (vol) vol.109
Number (no) 88
Page pp.pp.-
#Pages 6
Date of Issue