Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Stop-Line and Crosswalk Detection Based on Blob-Coloring

블럽칼라링 기반의 횡단보도와 정지선 검출

  • 이준웅 (전남대학교 산업공학과(시스템자동화 연구소))
  • Received : 2011.01.04
  • Accepted : 2011.04.19
  • Published : 2011.08.01
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Abstract

This paper proposes an algorithm to detect the stop line and crosswalk on the road surface using edge information and blob coloring. The detection has been considered as an important area of autonomous vehicle technologies. The proposed algorithm is composed of three phases: 1) hypothesis generation of stop lines, 2) hypothesis generation of crosswalks, and 3) hypothesis verification of stop lines. The last two phases are not performed if the first phase does not provide a hypothesis of a stop line. The last one is carried out by the combination of both hypotheses of stop lines and crosswalks, and determines the stop lines among stop line hypotheses. The proposed algorithm is proven to be effective through experiments with various images captured on the roads.

Keywords

References

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