Presentation 2008-12-18
Ego-localization by Matching between Streetscape Image Sequence and Image Sequences from Two In-vehicle Cameras
Hiroyuki UCHIYAMA, Daisuke DEGUCHI, Tomokazu TAKAHASHI, Ichiro IDE, Hiroshi MURASE,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Precise estimation of ego-localization is required to realize accurate car navigation and driver assistance system such as a collision prevention system. General GPS, however, has from 5 to 30 meters error. As a solution, we propose a method for estimating the two-dimensional self-position by matching images of two in-vehicle cameras with images in a streetscape database which has image sequences and their corresponding positions. First, an image with the most similar appearance is searched from the database. Then, the self-position is calculated based on triangulation by using the position obtained from the database and the directions of two cameras. By taking advantage of the fact that the appearance of a streetscape changes continuously, the sequential image matching algorithm is used to improve the accuracy of the ego-localization. From experimental results, we confirmed the effect of the proposed method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Ego-localization / Appearance / Landmark / DP Matching
Paper # PRMU2008-159
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Conference Information
Committee PRMU
Conference Date 2008/12/11(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) Ego-localization by Matching between Streetscape Image Sequence and Image Sequences from Two In-vehicle Cameras
Sub Title (in English)
Keyword(1) Ego-localization
Keyword(2) Appearance
Keyword(3) Landmark
Keyword(4) DP Matching
1st Author's Name Hiroyuki UCHIYAMA
1st Author's Affiliation Graduate School of Information Science, Nagoya University()
2nd Author's Name Daisuke DEGUCHI
2nd Author's Affiliation Graduate School of Information Science, Nagoya University
3rd Author's Name Tomokazu TAKAHASHI
3rd Author's Affiliation Faculty of Economics and Information, Gifu Shotoku Gakuen University
4th Author's Name Ichiro IDE
4th Author's Affiliation Graduate School of Information Science, Nagoya University
5th Author's Name Hiroshi MURASE
5th Author's Affiliation Graduate School of Information Science, Nagoya University
Date 2008-12-18
Paper # PRMU2008-159
Volume (vol) vol.108
Number (no) 363
Page pp.pp.-
#Pages 6
Date of Issue