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  1. A500 情報学部/情報学研究科・情報文化学部・情報科学研究科
  2. A500e 会議資料
  3. 国際会議

Frame Registration of In-vehicle Normal Camera with Omni-directional Camera for Self-position Estimation

http://hdl.handle.net/2237/12052
http://hdl.handle.net/2237/12052
d9e6f640-7fb0-434f-af6b-d93b4a1a9e85
名前 / ファイル ライセンス アクション
A01-07_frame_registration.pdf A01-07_frame_registration.pdf (925.8 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2009-08-20
タイトル
タイトル Frame Registration of In-vehicle Normal Camera with Omni-directional Camera for Self-position Estimation
言語 en
著者 Uchiyama, Hiroyuki

× Uchiyama, Hiroyuki

WEKO 30992

en Uchiyama, Hiroyuki

Search repository
Takahashi, Tomokazu

× Takahashi, Tomokazu

WEKO 30993

en Takahashi, Tomokazu

Search repository
Ide, Ichiro

× Ide, Ichiro

WEKO 30994

en Ide, Ichiro

Search repository
Murase, Hiroshi

× Murase, Hiroshi

WEKO 30995

en Murase, Hiroshi

Search repository
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利
言語 en
権利情報 Copyright © 2008 IEEE. Reprinted from 3rd International Conference on Innovative Computing Information and Control, 2008. ICICIC '08. p.1-4.<br/> This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.
抄録
内容記述 We propose a method for frame registration between in-vehicle omni-directional and normal cameras aimed at self-position estimation of a vehicle. We assume that the position of a vehicle is estimated by frame registration between the inputted normal camera images and the omni-directional video database with accurate position information. A DTW- based algorithm is used for nonlinear time-series matching because we consider that time-series information contributes to robustness. According to an evaluation experiment, the proposed method showed precise self-position estimation ability.
言語 en
内容記述タイプ Abstract
出版者
言語 en
出版者 IEEE
言語
言語 eng
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
出版タイプ
出版タイプ AM
出版タイプResource http://purl.org/coar/version/c_ab4af688f83e57aa
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1109/ICICIC.2008.283
書誌情報 en : 3rd International Conference on Innovative Computing Information and Control (ICICIC '08)

p. 1-4, 発行日 2008-06
フォーマット
application/pdf
著者版フラグ
値 author
URI
識別子 http://dx.doi.org/10.1109/ICICIC.2008.283
識別子タイプ DOI
URI
識別子 http://hdl.handle.net/2237/12052
識別子タイプ HDL
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