An improved lane detection algorithm and the definition of the error rate standard

Chung Hsien Yu, Chung Yen Su

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, we propose a method to improve the problem that the assistant lane marks caused by pulse. We also define a method to distinguish the assistant lane marks' error rate objectively. To improve the problem, we mainly use the Sobel edge detection to replace the Canny edge detection. Also, we make use of the Gaussian filter to filter noise. Finally, we improve the ellipse ROI size in tracking part and the performance of the FPS (frame per second) from 32 to 39. In the past, we distinguished the assistant lane marks' error rate very subjectively. To avoid judging subjectively, we propose an objective method to define the assistant lane marks' error rate as a standard. We use the performance and the error rate to choose the ellipse ROI parameter.

Original languageEnglish
Title of host publicationFourth International Conference on Digital Image Processing, ICDIP 2012
Volume8334
DOIs
Publication statusPublished - 2012
Event4th International Conference on Digital Image Processing, ICDIP 2012 - Kuala Lumpur, Malaysia
Duration: 2012 Apr 72012 Apr 8

Other

Other4th International Conference on Digital Image Processing, ICDIP 2012
CountryMalaysia
CityKuala Lumpur
Period12/4/712/4/8

Keywords

  • Edge detection
  • Hough transform
  • Lane detection
  • Region of interest (ROI)

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

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  • Cite this

    Yu, C. H., & Su, C. Y. (2012). An improved lane detection algorithm and the definition of the error rate standard. In Fourth International Conference on Digital Image Processing, ICDIP 2012 (Vol. 8334). [83341H] https://doi.org/10.1117/12.946608