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Detecting Lane Markers in Complex Urban Environments
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.
2010 (English)In: 2010 IEEE 7th International Conference on Mobile Adhoc and Sensor Systems (MASS), 2010, 727-732 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we present a new methodology for detecting lane markers that is able to withstand many challenging situations like scattered shadows, illumination changes, and presence of neighboring vehicles to name a few. At first, the input image undergoes a perspective removal followed by a color space conversion. Then, the core elements consisting of template matching, lane region merging, and elliptical projections are explained. Finally, the developed system showed good results when tested on 15 minutes of real-world driving videos containing variations in illumination, traffic, and road surface conditions.

Place, publisher, year, edition, pages
2010. 727-732 p.
Keyword [en]
Elliptical projections, Lane detection, Lane region Merging, Template matching
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-63781DOI: 10.1109/MASS.2010.5663812Scopus ID: 2-s2.0-78650983809OAI: oai:DiVA.org:kth-63781DiVA: diva2:482525
Conference
2010 IEEE 7th International Conference on Mobile Adhoc and Sensor Systems (MASS). San Francisco, CA. 8-12 Nov. 2010
Note
QC 20120419Available from: 2012-01-24 Created: 2012-01-24 Last updated: 2012-04-19Bibliographically approved

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CiteExportLink to record
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  • apa
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Output format
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