The Journal of Korea Robotics Society (로봇학회논문지)

Korea Robotics Society (한국로봇학회)
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Robust Lane Detection Algorithm for Realtime Control of an Autonomous Car

실시간 무인 자동차 제어를 위한 강인한 차선 검출 알고리즘

  • Received : 2010.12.23
  • Accepted : 2011.03.07
  • Published : 2011.05.31
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Abstract

This paper presents a robust lane detection algorithm based on RGB color and shape information during autonomous car control in realtime. For realtime control, our algorithm increases its processing speed by employing minimal elements. Our algorithm extracts yellow and white pixels by computing the average and standard deviation values calculated from specific regions, and constructs elements based on the extracted pixels. By clustering elements, our algorithm finds the yellow center and white stop lanes on the road. Our algorithm is insensitive to the environment change and its processing speed is realtime-executable. Experimental results demonstrate the feasibility of our algorithm.

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References

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