Illumination-Robust Load Lane Color Recognition based on S-color Space

조명변화에 강인한 S-색상공간 기반의 차선색상 판별 방법

  • Baek, Seung-Hae (Orbotech Korea) ;
  • Jin, Yan (Hyundai Motor Technology & Engineering Center) ;
  • Lee, Geun-Mo (School of Computer Science and Engineering, Kyungpook National University) ;
  • Park, Soon-Yong (School of Computer Science and Engineering, Kyungpook National University)
  • Received : 2018.01.05
  • Accepted : 2018.01.29
  • Published : 2018.03.28


In this paper, we propose a road lane color recognition method from the image obtained from a driving vehicle. In autonomous vehicle techniques, lane information becomes more important as the level of autonomous driving such as lane departure warning and dynamic lane keeping assistance is increased. In particular the lane color recognition, especially the white and the yellow lanes, is necessary technique because it is directly related to traffic accidents. In this paper, color information of lane and road area is mapped to a 2-dimensional S-color space based on lane detection. And the center of the feature distribution is obtained by using an improved mean-shift algorithm in the S-color space. The lane color is determined by using the distance between the center coordinates of the color features of the left and right lanes and the road area. In various illumination conditions, about 97% color recognition rate is achieved.


Supported by : National Research Foundation of Korea(NRF)


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