An adaptive approach to lane markings detection

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

A novel algorithm is represented to determine the position of markings in the presence of distracting shadows, highlight, pavement cracks, etc. RGB color space is transformed intoI1I2I3 color space and I2 component is used to form a new image with less affection of the clutter. Using an improved edge detection operator, an edge strength map is produced and binarilized by adaptive thresholds. The binary image is labeled and circularity of all connected components is calculated. The self-organizing maps is adopted to extract regions that imply potential markings. Finally the position of markings is obtained by curve fitting. Here color information is utilized fully and all thresholds are set adaptively. The method based on circularity of connected component shows its outstanding robustness to lane markings detection and has a wide variety of applications in the areas of vehicle autonomous navigation and driver assistance system.

Original languageEnglish
Title of host publicationProceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems, ITSC 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages510-514
Number of pages5
ISBN (Electronic)0780381254
DOIs
StatePublished - 2003
Event2003 IEEE International Conference on Intelligent Transportation Systems, ITSC 2003 - Shanghai, China
Duration: 12 Oct 200315 Oct 2003

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume1

Conference

Conference2003 IEEE International Conference on Intelligent Transportation Systems, ITSC 2003
Country/TerritoryChina
CityShanghai
Period12/10/0315/10/03

Keywords

  • Circularity
  • Color space transformation
  • Intelligent vehicle
  • Lane detection

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