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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. A500a 雑誌掲載論文
  3. 学術雑誌

Analysis of Drivers' Responses under Hazardous Situations in Vehicle Traffic

http://hdl.handle.net/2237/9598
http://hdl.handle.net/2237/9598
7895e40b-5baf-404c-bca8-5240a3bd1a02
名前 / ファイル ライセンス アクション
Miyajima_3.pdf Miyajima_3.pdf (292.6 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2008-03-18
タイトル
タイトル Analysis of Drivers' Responses under Hazardous Situations in Vehicle Traffic
言語 en
著者 Malta, Lucas

× Malta, Lucas

WEKO 22517

en Malta, Lucas

Search repository
Miyajima, Chiyomi

× Miyajima, Chiyomi

WEKO 22518

en Miyajima, Chiyomi

Search repository
Takeda, Kazuya

× Takeda, Kazuya

WEKO 22519

en Takeda, Kazuya

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 © 2007 IEEE. Reprinted from (relevant publication info). 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 This study focused on the analysis of drivers' reactions under hazardous scenarios in vehicle traffic. Driving behavior signals were utilized to detect a chain of changes in driver status and to retrieve incidents from a large real-world driving database obtained from the Center for Integrated Acoustic Information Research (CIAIR). All the existing 25 potentially hazardous scenes in the database were hand-labeled and categorized. A new feature, based on joint-histograms of these behavioral signals and their dynamics was proposed and utilized to indicate anomalies in driving behavior. Brake pedal force-based method attained a true positive (TP) rate of 100 % for a false positive (FP) rate of 4.5 %, concerning the detection of 17 scenes where drivers slammed on the brakes. Results stressed the relevance of individuality in drivers' reactions for this retrieval. In 11 of the 25 hand-labeled scenes, drivers reacted verbally. Scenes where high-energy words were present were adequately retrieved by the speech-based detection, which achieved a TP rate of 54 % (6 scenes), for a FP rate of 6.4 %. In addition, the proposed integration method, which combined brake force and speech signals, was satisfactory in boosting the detection of the most subjectively dangerous situations.
言語 en
内容記述タイプ Abstract
出版者
言語 ja
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 VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1109/IVS.2007.4290272
ISBN
関連タイプ isPartOf
識別子タイプ ISBN
関連識別子 1-4244-1068-1
ISSN
収録物識別子タイプ PISSN
収録物識別子 1931-0587
書誌情報 en : IEEE Intelligent Vehicles Symposium

p. 1144-1149, 発行日 2007
フォーマット
application/pdf
著者版フラグ
値 publisher
URI
識別子 http://hdl.handle.net/2237/9598
識別子タイプ HDL
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