Transactions of the Korean Society of Automotive Engineers (한국자동차공학회논문집)

The Korean Society of Automotive Engineers (한국자동차공학회)
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Extraction of Lane-Reined Information Based on an EDF and Hough Transform

EDF와 하프변환 기반의 차선관련 정보 검출

  • Lee Joonwoong (Department of industrial Engineering, Chonnam National University) ;
  • Lee Kiyong (Department of industrial Engineering, Chonnam National University)
  • 이준웅 (전남대학교 산업공학과, 자동차연구소) ;
  • 이기용 (전남대학교 산업공학과)
  • Published : 2005.05.01
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Abstract

This paper presents a novel algorithm in order to extract lane-related information based on machine vision techniques. The algorithm makes up for the weak points of the former method, the Edge Distribution Function(EDF)-based approach, by introducing a Lane Boundary Pixel Extractor (LBPE) and the well-known Hough Transform(HT). The LBPE that serves as a filter to extract pixels expected to be on lane boundaries enhances the robustness of machine vision, and provides its results to the HT implementation and EDF construction. The HT forms the accumulator arrays and extracts the lane-related parameters composed of orientation and distance. Furthermore, as the histogram of edge magnitude with respect to edge orientation angle, the EDF has peaks at the orientations corresponding to lane slopes on the perspective image domain. Therefore, by fusing the results from the EDF and the HT the proposed algorithm improves the confidence of the extracted lane-related information. The system shows successful results under various degrees of illumination.

Keywords

References

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