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  1. 学術雑誌論文
  2. 5 技術(工学)

Vehicle Augmented Reality Head-up Display information visualization enhancement algorithm and system

http://hdl.handle.net/10228/00008782
http://hdl.handle.net/10228/00008782
af558eed-2d64-419f-8ebf-ecb7a19ce4e9
名前 / ファイル ライセンス アクション
10384520.pdf 10384520.pdf (498.1 kB)
アイテムタイプ 学術雑誌論文 = Journal Article(1)
公開日 2022-03-24
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
タイトル
タイトル Vehicle Augmented Reality Head-up Display information visualization enhancement algorithm and system
言語 en
言語
言語 eng
著者 Lee, Jaehoon

× Lee, Jaehoon

WEKO 32752

en Lee, Jaehoon
Lee, J.

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Koo, Jungsik

× Koo, Jungsik

WEKO 32753

en Koo, Jungsik
Koo, J.

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Park, Jiyong

× Park, Jiyong

WEKO 32754

en Park, Jiyong
Park, J.

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李, 旻哲

× 李, 旻哲

WEKO 27557
e-Rad 60363397
Scopus著者ID 56132412500
ORCiD 0000-0001-8469-0288
九工大研究者情報 215

en Lee, Min-Chul

ja 李, 旻哲

ja-Kana イ, ミンチョル


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抄録
内容記述タイプ Abstract
内容記述 In this paper, we propose an augmented reality head-up display (ARHUD) algorithm and system that can enhance the information visualization for drivers. Recently, Head-up Display (HUD) getting popular in the automotive industry. It can serve the car and other information to the driver efficiently. Therefore, the drivers do not have to move the perspectives to the car dashboard. Finally, it can reduce the accident rate effectively. On the other hand, HUD serves only 2D information, and it is challenging to provide suitable 3D information according to road conditions. To overcome this problem, ARHUD has been developed. ARHUD can generate 3D information and can serve adaptive information for drivers by using a car camera. However, the conventional ARHUD defines content color without considering the road condition. It can cause a critical visualization problem. For example, if the information color and the car color are the same in an actual traffic situation, it is not easy to visualize the content information. In addition, to recognize the road situation in real-time, an image processing machine is needed. However, the conventional machine consumes much electricity, and it can cause vehicle discharge. To solve these problems, we propose an effective processing algorithm and system which can define the content color and recognize the object with high speed without consumes high electricity.
言語 en
備考
内容記述タイプ Other
内容記述 13th International Conference on ITC Convergence (ICTC2021), October 20-22, 2021, Jeju, Korea
書誌情報 en : 2021 International Conference on Information and Communication Technology Convergence (ICTC)

p. 701-706, 発行日 2021-10-20
出版社
出版者 IEEE
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1109/ICTC52510.2021.9620873
ISBN
識別子タイプ ISBN
関連識別子 978-1-6654-2383-0
ISBN
識別子タイプ ISBN
関連識別子 978-1-6654-2384-7
日本十進分類法
主題Scheme NDC
主題 548
ISSN
収録物識別子タイプ PISSN
収録物識別子 2162-1233
著作権関連情報
権利情報 Copyright (c) 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
キーワード
主題Scheme Other
主題 Augmented Reality
キーワード
主題Scheme Other
主題 Vehicle Head Up Display
キーワード
主題Scheme Other
主題 Visualization
出版タイプ
出版タイプ AM
出版タイプResource http://purl.org/coar/version/c_ab4af688f83e57aa
査読の有無
値 yes
研究者情報
URL https://hyokadb02.jimu.kyutech.ac.jp/html/215_ja.html
論文ID(連携)
値 10384520
連携ID
値 10254
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