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Author:

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

Indexed by:

EI Scopus

Abstract:

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.

Keyword:

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

Author Community:

  • [ 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

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Source :

Year: 2009

Volume: 2

Page: 247-250

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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