Illumination invariant road detection based on learning method

Bongjoe Kim, Jongin Son, Kwanghoon Sohn

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

13 Citations (Scopus)

Abstract

Road detection is an essential and important component in intelligent transportation system (ITS). Generally, most road detection methods are sensitive to variation of illumination which results in increasing false detection rate. In this paper, we propose an illumination invariant road detection method to deal with variation of illumination. We adopt learning method to estimate illumination invariant direction which is specified to road surface. Once this direction is estimated, we can classify image pixel as road or not. Incorporating scene layout of road image, we reduce false positive detection rate outside the road. Experimental results on real road scenes show that the effectiveness of the proposed method.

Original languageEnglish
Title of host publication2011 14th International IEEE Conference on Intelligent Transportation Systems, ITSC 2011
Pages1009-1014
Number of pages6
DOIs
Publication statusPublished - 2011
Event14th IEEE International Intelligent Transportation Systems Conference, ITSC 2011 - Washington, DC, United States
Duration: 2011 Oct 52011 Oct 7

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Other

Other14th IEEE International Intelligent Transportation Systems Conference, ITSC 2011
CountryUnited States
CityWashington, DC
Period11/10/511/10/7

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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  • Cite this

    Kim, B., Son, J., & Sohn, K. (2011). Illumination invariant road detection based on learning method. In 2011 14th International IEEE Conference on Intelligent Transportation Systems, ITSC 2011 (pp. 1009-1014). [6082917] (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). https://doi.org/10.1109/ITSC.2011.6082917