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Detecting lane markers in a complex environment using a single camera approach
KTH, School of Information and Communication Technology (ICT), Electronic Systems.
2011 (English)In: Proceedings of the 8th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, 2011, 15-22 p.Conference paper, Published paper (Refereed)
Abstract [en]

Lane detection is an important application of driver assistance. In this paper, a new technique for detecting lane markers that is able to cope with many complex conditions is presented. Some of these conditions include dynamic illumination, scattered shadows, and the presence of neighboring vehicles to name a few. The input image is first pre-processed with a perspective removal transformation followed by a color space conversion. Then, the core elements of the proposed technique consisting of template matching, lane region merging, elliptical projections, and parametric tracking are explained. A formal error metric used in performance evaluation is also introduced. Finally, quantitative analyses show that the developed system performs well in real-world driving conditions with variations in illumination, traffic, and road surface quality.

Place, publisher, year, edition, pages
2011. 15-22 p.
Series
Proceedings of the 8th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2011
Keyword [en]
Computer vision, Image processing, Intelligent vehicles, Object recognition, Color space conversion, Complex condition, Complex environments, Core elements, Driver assistance, Driving conditions, Error metrices, Input image, Lane detection, Lane marker, Performance evaluation, Region-merging, Road surfaces, Single cameras, Automobile drivers, Image matching, Intelligent vehicle highway systems, Template matching, Signal detection
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-151206DOI: 10.2316/P.2011.721-061Scopus ID: 2-s2.0-79958175259ISBN: 9780889868656 (print)OAI: oai:DiVA.org:kth-151206DiVA: diva2:748427
Conference
8th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2011, 16 February 2011 through 18 February 2011, Innsbruck
Note

QC 20140919

Available from: 2014-09-19 Created: 2014-09-15 Last updated: 2014-09-19Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf