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International Symposium on Visual Computing

ISVC 2015: Advances in Visual Computing pp 532–541Cite as

A Robust Real-Time Road Detection Algorithm Using Color and Edge Information

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9475))

Abstract

A vision-based road detection technique is important for implementation of a safe driving assistance system. A major problem of vision-based road detection is sensitivity to environmental change, especially illumination change. A novel framework is proposed for robust road detection using a color model with a separable brightness component. Road candidate areas are selected using an adaptive thresholding method, then fast region merging is performed based on a threshold value. Extracted road contours are filtered using edge information. Experimental results show the proposed algorithm is robust in an illumination change environment.

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Acknowledgment

This work was supported by the Sun Moon University Research Grant of 2014.

Author information

Authors and Affiliations

  1. Department of Computer Engineering, Sun Moon University, Asan, Korea

    Jae-Hyun Nam, Seung-Hoon Yang, Woong Hu & Byung-Gyu Kim

Authors
  1. Jae-Hyun Nam
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  2. Seung-Hoon Yang
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  3. Woong Hu
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  4. Byung-Gyu Kim
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Corresponding author

Correspondence to Byung-Gyu Kim .

Editor information

Editors and Affiliations

  1. University of Nevada, Reno, Nevada, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, California, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, Nevada, USA

    Darko Koracin

  5. University of Houston, Houston, Texas, USA

    Ioannis Pavlidis

  6. IBM T.J. Watson Research Center, Yorktown Heights, New York, USA

    Rogerio Feris

  7. Purdue University, West Lafayette, Indiana, USA

    Tim McGraw

  8. Side Effects Software, Santa Monica, California, USA

    Mark Elendt

  9. The DiVE, Durham, North Carolina, USA

    Regis Kopper

  10. Texas A&M University, College Station, Texas, USA

    Eric Ragan

  11. Kent State University, Kent, Ohio, USA

    Zhao Ye

  12. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Gunther Weber

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© 2015 Springer International Publishing Switzerland

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Cite this paper

Nam, JH., Yang, SH., Hu, W., Kim, BG. (2015). A Robust Real-Time Road Detection Algorithm Using Color and Edge Information. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2015. Lecture Notes in Computer Science(), vol 9475. Springer, Cham. https://doi.org/10.1007/978-3-319-27863-6_49

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  • DOI: https://doi.org/10.1007/978-3-319-27863-6_49

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27862-9

  • Online ISBN: 978-3-319-27863-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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