Distinction of road surface conditions based on RGB color space at night-time using a car-mounted camera

Shohei Kawai*, Keiji Shibata, Yuukou Horita

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper, we propose a distinction method for road surface conditions at night-time. This method uses only video information acquired by an inexpensive car-mounted video camera and uses image features by the difference in road surface features for each condition. The image features of the road surface vary depending on the illumination by street lamps, signal lights, reflections and other light sources. Therefore, we analyze image features based on RGB color information and take into consideration the presence of other light sources. As a result, the distinction of road conditions was achieved with high accuracy, including the portions illuminated by street lamps and other light sources.

Original languageEnglish
Title of host publication2012 Proceedings of SICE Annual Conference, SICE 2012
PublisherSociety of Instrument and Control Engineers (SICE)
Pages1892-1895
Number of pages4
ISBN (Print)9781467322591
StatePublished - 2012
Event2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012 - Akita, Japan
Duration: 2012/08/202012/08/23

Publication series

NameProceedings of the SICE Annual Conference

Conference

Conference2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012
Country/TerritoryJapan
CityAkita
Period2012/08/202012/08/23

Keywords

  • Car-mounted camera
  • ITS
  • Image processing
  • Night-time
  • Road surface condition

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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