DocumentCode :
2742121
Title :
A Study on Automatic Recognition of Road Signs
Author :
Nguwi, Y.Y. ; Kouzani, A.Z.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Newcastle Univ., Callaghan, NSW
fYear :
2006
fDate :
7-9 June 2006
Firstpage :
1
Lastpage :
6
Abstract :
An automatic road sign recognition system identifies road signs from within images captured by an imaging sensor on-board of a vehicle, and assists the driver to properly operate the vehicle. Most existing systems include a detection phase and a classification phase. This paper classifies the methods applied to road sign recognition into three groups: colour-based, shape-based, and others. In this paper, the issues associated with automatic road sign recognition are addressed, the popular existing methods developed to tackle the road sign recognition problem are reviewed, and a comparison of the features of these methods is given
Keywords :
image colour analysis; image recognition; road traffic; traffic engineering computing; automatic road sign recognition; colour-based method; driver assistance; shape-based method; Image recognition; Intelligent transportation systems; Object detection; Paints; Rain; Road accidents; Road vehicles; Shape; Vehicle detection; Vehicle driving; detection; identification; road sign;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cybernetics and Intelligent Systems, 2006 IEEE Conference on
Conference_Location :
Bangkok
Print_ISBN :
1-4244-0023-6
Type :
conf
DOI :
10.1109/ICCIS.2006.252289
Filename :
4017848
Link To Document :
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