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Eigen Based Traffic Sign Recognition Which Aids In Achieving Intelligent Speed Adaptation
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0002-1429-2345
2011 (English)In: Journal of Intelligent Systems, ISSN 2191-026X, Vol. 20, no 2, p. 129-145Article in journal (Refereed) Published
Abstract [en]

Speed is one of the major factors by which the traffic safety is affected. If the speed limit traffic signs on the road are recognised and displayed to a driver, this will be a motivation to keep the vehicle's speed within the permitted range. The purpose of this paper is to investigate Eigen-based traffic sign recognition which can aid in the development of Intelligent Speed Adaptation. This system is based on invoking the PCA technique to detect the unknown speed limit traffic sign and computes its best effective Eigen vectors. The traffic sign is then recognized and classified by using the shortest Euclidean distance to the different speed limit traffic sign classes. The system was trained using 24 037 images which were collected in different light conditions. To check the robustness of this system, it was tested against 1429 images and it was found that the accuracy of recognition was 97.5% which indicates clearly the high robustness targeted by this system.

Place, publisher, year, edition, pages
London: de Gruyter Reference Global , 2011. Vol. 20, no 2, p. 129-145
Keywords [en]
Traffic signs, pattern recognition, machine vision, PCA, classification.
National Category
Computer Systems
Research subject
Komplexa system - mikrodataanalys
Identifiers
URN: urn:nbn:se:du-5661DOI: 10.1515/jisys.2011.008OAI: oai:dalea.du.se:5661DiVA, id: diva2:520382
Available from: 2011-08-08 Created: 2011-08-08 Last updated: 2016-02-12Bibliographically approved

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Fleyeh, Hasan

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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
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