한국자동차공학회논문집 (Transactions of the Korean Society of Automotive Engineers)

  • 제21권1호
  • /
  • Pages.51-60
  • /
  • 2013
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  • 1225-6382(pISSN)
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  • 2234-0149(eISSN)
한국자동차공학회 (The Korean Society of Automotive Engineers)
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카메라 기반 야간 차선 인식율 개선을 위한 영상처리 알고리즘에 대한 연구

A Study on Image Processing Algorithms for Improving Lane Detectability at Night Based on Camera

  • 김흥룡 (에스엘 선행개발팀) ;
  • 이선봉 (계명대학교 기계자동차공학부)
  • Kim, Heungryong (Advanced Development Team, SL Corporation) ;
  • Lee, Seonbong (Department of Mechanical & Automotive Engineering, Keimyung University)
  • 투고 : 2011.12.23
  • 심사 : 2012.06.14
  • 발행 : 2013.01.01
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초록

In this paper, to control the existing headlamp control system using steering wheel angle more efficiently and more actively, image processing algorithm which improved the detection rate of lane at night based on camera was suggested. And to recognize road lane more clearly in the conditions of low illumination, new algorithms were developed in the aspects of improving brightness, extracting clear lane edge and using the characteristics of lane. Through this research, it turned out that lane detection ability by using the normalized stretching, angular mask and expected-area scan have good performance in the night compare to existing algorithms.

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참고문헌

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