Study of road scene monotony evaluation method based on video processing technique - 文章详情页

作者：

Hu, Dun-Li (Hu, Dun-Li.) | Zhao, Xiao-Hua (Zhao, Xiao-Hua.) | Mu, Zhi-Chun (Mu, Zhi-Chun.) | Yang, Pan (Yang, Pan.)

收录：

EI Scopus

摘要：

Driving　Fatigue　is　one　of　the　main　reasons　of　resulting　in　heavy　traffic　accident　and　is　an　important　part　of　accident　risk.　Road　Scene　is　one　of　the　main　exogenous　factors　contributing　to　fatigue.　Design　rationality　of　road　scene　plays　an　important　role　in　reducing　the　influence　of　driving　fatigue.　We　use　video　image　processing　technique　and　video　image　compressing　technique　to　research　the　relation　between　road　scene　and　driving　fatigue.　Consequently,　information　change　measurement　of　road　scene　over　time　involves　MPEG　compression　and　OpenCV　program.　The　presented　research　result　shows　highly　consistence　with　human　identified　solution　in　general　environment　and　will　lay　a　foundation　for　the　further　research　of　reveal　the　relation　between　road　scene　and　driving　fatigue.　©2009　IEEE.

关键词：

Accidents Highway planning Image compression Intelligent systems Intelligent vehicle highway systems Power electronics Roads and streets Video signal processing

作者机构：

[ 1 ] [Hu, Dun-Li]College of Mechanic Engineering, North China University of Technology, University of Science and Technology Beijing, Beijing, China
[ 2 ] [Zhao, Xiao-Hua]Transportation Research Center, Beijing University of Technology, Beijing, China
[ 3 ] [Mu, Zhi-Chun]School of Information Engineering, University of Science and Technology Beijing, Beijing, China
[ 4 ] [Yang, Pan]College of Mechanic Engineering, North China University of Technology, Beijing, China

通讯作者信息：

电子邮件地址：

dunlihu@126.com

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