Real time detection of lane markers in urban streets

Mohamed Aly*

*Corresponding author for this work

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

494 Scopus citations

Abstract

We present a robust and real time approach to lane marker detection in urban streets. It is based on generating a top view of the road, filtering using selective oriented Gaussian filters, using RANSAC line fitting to give initial guesses to a new and fast RANSAC algorithm for fitting Bezier Splines, which is then followed by a post-processing step. Our algorithm can detect all lanes in still images of the street in various conditions, while operating at a rate of 50 Hz and achieving comparable results to previous techniques.

Original languageEnglish (US)
Title of host publication2008 IEEE Intelligent Vehicles Symposium, IV
Pages7-12
Number of pages6
DOIs
StatePublished - Dec 24 2008
Event2008 IEEE Intelligent Vehicles Symposium, IV - Eindhoven, Netherlands
Duration: Jun 4 2008Jun 6 2008

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings

Other

Other2008 IEEE Intelligent Vehicles Symposium, IV
CountryNetherlands
CityEindhoven
Period06/4/0806/6/08

ASJC Scopus subject areas

  • Modeling and Simulation
  • Automotive Engineering
  • Computer Science Applications

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