Skip to main content
SpringerLink
Log in

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

  • Conference paper
  • First Online:
Advances in Visual Computing (ISVC 2015)

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

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Alvares, J.M.A., Gevers, T., Lopez, A.M.: Vision-based road detection using road models. In: IEEE International Conference on Image Processing (ICIP), pp. 2073–2076 (2009)

    Google Scholar 

  2. Alvarez, J.M.A., Gevers, T., Lopez, A.M.: Evaluating color representations for on-line road detection. In: International Conference on Computer Vision Workshops (ICCVW), pp. 594–559 (2013)

    Google Scholar 

  3. Hasan, N., Didar-Al-Alam, S.M., Rezwanul Huq, S.: Intelligent car control for a smart car. Int. J. Comput. Appl. 14, 15–19 (2011)

    Google Scholar 

  4. Bhumkar, S.P., Deotare, V.V., Babar, R.V.: Intelligent car system for accident prevention using ARM-7. Int. J. Emerg. Technol. Adv. Eng. 2(4) (2012)

    Google Scholar 

  5. Vipul, H., Ramji, M.: Survey: vision based road detection techniques. Int. J. Comput. Sci. Inf. Technol. 5, 4741–4747 (2014)

    Google Scholar 

  6. Moghadam, P., Starzyk, J.A., Wijesoma, W.S.: Fast vanishing-point detection in unstructured environments. In: IEEE International Conference on Image Processing (ICIP), pp. 425–430 (2011)

    Google Scholar 

  7. Kuhnl, T., Fritsch, J.: Vision-spatial road boundary detection for unmarked urban and rural roads. In: IEEE Intelligent Vehicles Symposium Proceedings, pp. 1251–1256 (2014)

    Google Scholar 

  8. Corke, P., Paul, R., Churchill, W., Newman, P.: Dealing with shadows: capturing intrinsic scene appearance for image-based outdoor localization. Intelligent Robots and Systems (IROS), pp. 2085–2092 (2013)

    Google Scholar 

  9. Sezgin, M., Sankur, B.: Survey over image thresholding techniques and quantitative performance evaluation. J. Electron. Imaging 13, 146–165 (2004)

    Article  Google Scholar 

Download references

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Seung-Hoon Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Woong Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Byung-Gyu Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

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

Download citation

  • 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)

Publish with us

Policies and ethics

Search

Navigation