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Traffic sign recognition by fuzzy sets
Högskolan Dalarna, Akademin Industri och samhälle, Datateknik.ORCID-id: 0000-0002-1429-2345
2008 (engelsk)Inngår i: Intelligent Vehicles Symposium, 2008 IEEE, Eindhoven, 2008Konferansepaper, Publicerat paper (Fagfellevurdert) Published
Abstract [en]

In this paper, a novel fuzzy approach is developed to recognize traffic signs. More than 3400 images of traffic signs were collected in different light conditions by a digital camera mounted in a car and used for developing and testing this approach. Every RGB image was converted into HSV color space and segmented by using a set of fuzzy rules depending on the hue and saturation values of each pixel. Objects in each segmented image are labeled and tested for the presence of probable sign. Objects passed this test are recognized by a fuzzy shape recognizer which invokes another set of fuzzy rules. These fuzzy rules are based on four invariant shape measures which are invoked to decide the shape of the sign; rectangularity, triangularity, ellipticity, and the new shape measure octagonality. The method is tested in different environmental conditions and it shows high robustness.

sted, utgiver, år, opplag, sider
Eindhoven, 2008.
Emneord [en]
Traffic signs, Color segmentation, Fuzzy sets, Rectangularity, Triangularity, Ellipticity, Octagonality.
Identifikatorer
URN: urn:nbn:se:du-3395OAI: oai:dalea.du.se:3395DiVA, id: diva2:521855
Konferanse
Intelligent Vehicles Symposium, 2008 IEEE , Eindhoven, 4-6 June, 2008, 2008
Tilgjengelig fra: 2008-08-28 Laget: 2008-08-28 Sist oppdatert: 2016-02-12bibliografisk kontrollert

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