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Polar Randomized Hough Transform For Lane Detection Using Loose Constraints of Parallel Lines
Georgia Institute of Technology. (School of Electrical and Computer Engineering)
Georgia Institute of Technology. (School of Electrical and Computer Engineering)
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS.
2011 (English)In: 2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2011, 1037-1040 p.Conference paper (Refereed)
Abstract [en]

In this paper, we propose a new methodology for detecting lane markers that exploits the parallel nature of lane boundaries on the road. First, the input image is pre-processed and filtered to detect lane marker features. Then, using the Polar Randomized Hough Transform that is introduced in this paper, lines are fitted through the detected features and the orientation of each line is evaluated. By finding near parallel lines separated by a constraint specified distance, false signalling caused by artifacts in the image is greatly reduced. The proposed system was tested using a real world driving videos and showed good results despite the presence of neighboring vehicles, shadows, and irregularities on the road surface.

Place, publisher, year, edition, pages
2011. 1037-1040 p.
, International Conference on Acoustics Speech and Signal Processing ICASSP, ISSN 1520-6149
Keyword [en]
Lane detection, Parallel line detection, Polar Randomized Hough Transform
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-63846DOI: 10.1109/ICASSP.2011.5946584ISI: 000296062401070ScopusID: 2-s2.0-80051612702OAI: diva2:482833
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). Prague Congress Ctr, Prague, CZECH REPUBLIC. MAY 22-27, 2011
QC 20120220Available from: 2012-01-24 Created: 2012-01-24 Last updated: 2012-02-20Bibliographically approved

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Smith, Mark T.
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Communication Systems, CoS
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