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A Layered Approach to Robust Lane Detection at Night
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.
IBM T.J. Watson Research Center.
2009 (English)In: CIVVS 2009: 2009 IEEE WORKSHOP ON COMPUTATIONAL INTELLIGENCE IN VEHICLES AND VEHICULAR SYSTEMS, 2009, 51-57 p.Conference paper (Refereed)
Abstract [en]

A layered approach is designed to address many of the real-world problems that an inexpensive lane detection system would encounter. A region of interest is first extracted from the image followed by an enhancement procedure to manipulate the shape of the lane markers. The extracted region is then converted to binary using an adaptive threshold. A model based line detection system hypothesizes lane position. Finally, an iterated matched filtering scheme estimates the final lane position. The developed system shows good performance when tested on real-world data that contains fluctuating illumination and a variety of traffic conditions.

Place, publisher, year, edition, pages
2009. 51-57 p.
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-63769DOI: 10.1109/CIVVS.2009.4938723ISI: 000272018100008OAI: diva2:482494
IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems. Nashville, TN. MAR 30-APR 02, 2009
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
Signal Processing

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