du.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Road and traffic sign detection and recognition
Högskolan Dalarna, Akademin Industri och samhälle, Datateknik.ORCID-id: 0000-0002-1429-2345
Högskolan Dalarna, Akademin Industri och samhälle, Datateknik.
2005 (Engelska)Ingår i: 10th EWGT Meeting and 16th Mini-EURO Conference, Poznan, Poland, 2005Konferensbidrag, Publicerat paper (Refereegranskat) Published
Abstract [en]

This paper presents an overview of the road and traffic sign detection and recognition. It describes the characteristics of the road signs, the requirements and difficulties behind road signs detection and recognition, how to deal with outdoor images, and the different techniques used in the image segmentation based on the colour analysis, shape analysis. It shows also the techniques used for the recognition and classification of the road signs. Although image processing plays a central role in the road signs recognition, especially in colour analysis, but the paper points to many problems regarding the stability of the received information of colours, variations of these colours with respect to the daylight conditions, and absence of a colour model that can led to a good solution. This means that there is a lot of work to be done in the field, and a lot of improvement can be achieved. Neural networks were widely used in the detection and the recognition of the road signs. The majority of the authors used neural networks as a recognizer, and as classifier. Some other techniques such as template matching or classical classifiers were also used. New techniques should be involved to increase the robustness, and to get faster systems for real-time applications.

Ort, förlag, år, upplaga, sidor
Poznan, Poland, 2005.
Nyckelord [en]
Traffic signs, sign detection, sign recognition
Identifikatorer
URN: urn:nbn:se:du-1426OAI: oai:dalea.du.se:1426DiVA, id: diva2:521498
Konferens
10th EWGT Meeting and 16th Mini-EURO Conference , Poznan, Poland, 13-16 September, 2005, 2005
Tillgänglig från: 2005-08-27 Skapad: 2005-08-27 Senast uppdaterad: 2016-02-12Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Personposter BETA

Fleyeh, Hasan

Sök vidare i DiVA

Av författaren/redaktören
Fleyeh, HasanDougherty, Mark
Av organisationen
Datateknik

Sök vidare utanför DiVA

GoogleGoogle Scholar

urn-nbn

Altmetricpoäng

urn-nbn
Totalt: 652 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf