Estimation of the reflectance distribution of fallen objects on highways for tunnel lighting management

So Sakaguchi, Satoshi Hirakawa, Daijiro Mizutani, Kengo Obama, Kiyoyuki Kaito

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Fallen objects on highways are one of the direct or indirect factor which induce major accidents. Therefore, in management of highways, the improvement in visibility to fallen objects has been an important issue. And, the reflectance distribution of fallen objects and the tunnel lighting system greatly influence the improvement in the visibility of fallen objects. In this study, it is set the eventual goal that the establishment of the decision making of the tunnel lighting system, and as its basic study, it is precisely estimated the reflectance distribution of fallen objects. Specifically, it is represented the reflectance distribution by beta mixture model that can be considered multimodal. Mixing coefficient and unknown parameters of beta mixture model are estimated by the EM algorithm. Finally it is indicated the application example which used the survey datas, and verified of the validity of the model in this study.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
Pages4000-4005
Number of pages6
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 - Manchester, United Kingdom
Duration: 2013 Oct 132013 Oct 16

Publication series

NameProceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013

Other

Other2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
CountryUnited Kingdom
CityManchester
Period13/10/1313/10/16

Keywords

  • Beta mixture model
  • Fallen objects on highways
  • The reflectance distribution

ASJC Scopus subject areas

  • Human-Computer Interaction

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