Presentation | 2009-02-04 High Accuracy Estimation Method of Vehicle Motion by using Omnidirectional Factorization Ryota Matsuhisa, Shintaro Ono, Hiroshi Kawasaki, Atsuhiko Banno, Katsushi Ikeuchi, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Estimation of Vehicle Motion has generally done by GPS, accelerometer and so on. However, higher accurate method is necessary for measurement of vehicle characteristics, Automatic Driving and so on. In this paper, we estimate vehicle motion and surrounding environments by Structure from Motion (SFM) method with omnidirectional image sequences. SFM can estimate those parameters accurately as pixel resolution. However, SFM method is usually unstable dependent on initial parameters and noise. In this paper, we propose a SFM method for omnidirectional image sequences to achieve high accuracy and robustness. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Omnidirectional Image / Structure from Motion / Factorization / Bundle Adjustment |
Paper # | ITS2008-53,IE2008-223 |
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Committee | ITS |
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Conference Date | 2009/1/28(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Intelligent Transport Systems Technology (ITS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | High Accuracy Estimation Method of Vehicle Motion by using Omnidirectional Factorization |
Sub Title (in English) | |
Keyword(1) | Omnidirectional Image |
Keyword(2) | Structure from Motion |
Keyword(3) | Factorization |
Keyword(4) | Bundle Adjustment |
1st Author's Name | Ryota Matsuhisa |
1st Author's Affiliation | The University of Tokyo() |
2nd Author's Name | Shintaro Ono |
2nd Author's Affiliation | The University of Tokyo |
3rd Author's Name | Hiroshi Kawasaki |
3rd Author's Affiliation | Saitama University |
4th Author's Name | Atsuhiko Banno |
4th Author's Affiliation | The University of Tokyo |
5th Author's Name | Katsushi Ikeuchi |
5th Author's Affiliation | The University of Tokyo |
Date | 2009-02-04 |
Paper # | ITS2008-53,IE2008-223 |
Volume (vol) | vol.108 |
Number (no) | 424 |
Page | pp.pp.- |
#Pages | 6 |
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