Detecting lane markers in a complex environment using a single camera approach
2011 (English)In: Proceedings of the 8th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, 2011, 15-22 p.Conference paper (Refereed)
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.
, Proceedings of the 8th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2011
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
IdentifiersURN: urn:nbn:se:kth:diva-151206DOI: 10.2316/P.2011.721-061ScopusID: 2-s2.0-79958175259ISBN: 9780889868656OAI: oai:DiVA.org:kth-151206DiVA: diva2:748427
8th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2011, 16 February 2011 through 18 February 2011, Innsbruck
QC 201409192014-09-192014-09-152014-09-19Bibliographically approved