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Prohibitory traffic signs detection using LVQ and windowed Hough transform
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0002-1429-2345
2011 (English)In: IICAI-11 (5 th Indian International Conference on Artificial Intelligence), Tumkur, India, 2011Conference paper, Published paper (Refereed)
Abstract [en]

Prohibitory traffic signs represent an important group of traffic signs which are used to prohibit certain types of manoeuvres or some types of traffic. Speed limits signs belong to this group and speed is the main cause of many deadly accidents. Detecting this group in good time may be helpful to avoid many fatal accidents. This paper presents a new approach to detecting prohibitory traffic signs which is based on colour segmentation using LVQ and windowed Hough Transform. Experiments conducted to check the robustness of this approach indicated that 98.5% of the traffic signs invoked for this test were successfully detected. This test was carried out using images collected under a wide range of environmental conditions.

Place, publisher, year, edition, pages
Tumkur, India, 2011.
Keyword [en]
Traffic signs, LVQ, Hough Transform, Classification
National Category
Computer Systems
Research subject
Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-6226OAI: oai:dalea.du.se:6226DiVA: diva2:522488
Conference
IICAI-11 (5 th Indian International Conference on Artificial Intelligence) , Tumkur, India, 14-16 December, 2011
Available from: 2012-01-24 Created: 2012-01-24 Last updated: 2016-02-12Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
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Language
  • de-DE
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  • nn-NB
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  • Other locale
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Output format
  • html
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  • asciidoc
  • rtf