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A New Multi-Camera Approach For Lane Departure Warning
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: ACIVS 2011: Proceedings of Acivs 2011, 2011, 58-69 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we present a new multi camera approach to Lane Departure Warning (LDW). Upon acquisition, the captured images are transformed to a bird's-eye view using a modified perspective removal transformation. Then, camera calibration is used to accurately determine the position of the two cameras relative to a reference point. Lane detection is performed on the front and rear camera images which are combined using data fusion. Finally, the distance between the vehicle and adjacent lane boundaries is determined allowing to perform LDW. The proposed system was tested on real world driving videos and shows good results when compared to ground truth.

Place, publisher, year, edition, pages
2011. 58-69 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 6915
Keyword [en]
data fusion, Lane departure warning, multi camera calibration, non-overlapping camera networks
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-64539DOI: 10.1007/978-3-642-23687-7_6Scopus ID: 2-s2.0-80052151312ISBN: 9783642236860 (print)OAI: oai:DiVA.org:kth-64539DiVA: diva2:483094
Conference
13th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2011. Ghent. 22 August 2011 - 25 August 2011
Note

QC 20120220

Available from: 2012-01-24 Created: 2012-01-24 Last updated: 2017-03-24Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf