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

  • Jae-Hyun Nam
  • Seung-Hoon Yang
  • Woong Hu
  • Byung-Gyu KimEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9475)


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.


Graphic Processing Unit Color Model Road Area Road Region Road Detection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



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


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Jae-Hyun Nam
    • 1
  • Seung-Hoon Yang
    • 1
  • Woong Hu
    • 1
  • Byung-Gyu Kim
    • 1
    Email author
  1. 1.Department of Computer EngineeringSun Moon UniversityAsanKorea

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