道路管理用カメラを用いた冬季の路面状態判別
道路管理用カメラを用いた冬季の路面状態判別
カテゴリ: 論文誌(論文単位)
グループ名: 【C】電子・情報・システム部門
発行日: 2015/07/01
タイトル(英語): Detection of Road Surface Conditions in Winter using CCTV Camera for Road Monitoring
著者名: 竹内 和也(富山大学大学院理工学教育部),柴田 啓司(富山大学大学院理工学研究部),堀田 裕弘(富山大学大学院理工学研究部)
著者名(英語): Kazuya Takeuchi (Graduate School of Science and Engineering for Education, University of Toyama), Keiji Shibata (Graduate School of Science and Engineering for Research, University of Toyama), Yuukou Horita (Graduate School of Science and Engineering for Research, University of Toyama)
キーワード: 路面状態,道路管理用カメラ,画像処理,ITS Road Surface Condition,CCTV Camera,Image Processing,ITS
要約(英語): As vehicle driving is heavily influenced by road surface conditions, it is essential for ensuring traffic safety in winter season to properly detect the condition. Therefore, various methods such as laser radar and near-infrared detector to detect road surface conditions have been proposed. However, these methods have not been widely applied for detecting the condition of public highways because of the high deployment costs. Though on the other hand, a method using visible camera does not require expensive equipment, has been applied mainly for daytime use due to the problems of light sources. This paper proposes the method using videos acquired through an existing CCTV camera for road monitoring in order to detect road surface conditions in winter season both during daytime and nighttime. Texture features based on an RGB histogram and a support vector machine are used in this method for detecting the condition of divided into blocks. It was concluded that the method can effectively detect dry, wet and snowy conditions.
本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.135 No.7 (2015) 特集:平成26 年電子・情報・システム部門大会
本誌掲載ページ: 901-907 p
原稿種別: 論文/日本語
電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/135/7/135_901/_article/-char/ja/
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