Automatic illumination invariant road detection with stereo vision

Changbeom Oh, Bongjoe Kim, Kwanghoon Sohn

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

9 Citations (Scopus)

Abstract

Road detection is an important task in intelligent transportation system (ITS). Variation of illumination is a major issue in most of the vision approaches, which causes the problem of false detection. In this paper, we propose an automatic illumination invariant road detection method with stereo vision. Disparity and illumination invariant road direction are estimated and the road probability map is calculated to decide whether each pixel belongs to road or not. Then, we utilize joint bilateral filter to refine the detected road region. Experimental results on real road scenes show that the proposed method outperforms the conventional methods.

Original languageEnglish
Title of host publicationProceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
Pages889-893
Number of pages5
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 - Singapore, Singapore
Duration: 2012 Jul 182012 Jul 20

Publication series

NameProceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012

Other

Other2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
CountrySingapore
CitySingapore
Period12/7/1812/7/20

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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    Oh, C., Kim, B., & Sohn, K. (2012). Automatic illumination invariant road detection with stereo vision. In Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 (pp. 889-893). [6360850] (Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012). https://doi.org/10.1109/ICIEA.2012.6360850