DocumentCode :
2154199
Title :
A survey of traffic sign recognition
Author :
Fu, Meng-Yin ; Huang, Yuan-Shui
Author_Institution :
Sch. of Autom., Beijing Inst. of Technol., Beijing, China
fYear :
2010
fDate :
11-14 July 2010
Firstpage :
119
Lastpage :
124
Abstract :
Advanced Driver Assistance Systems (ADAS) refer to various high-tech in-vehicle systems that are designed to increase road traffic safety by helping drivers gain better awareness of the road and its potential hazards as well as other drivers around them. The design of traffic sign recognition, one important subsystem of ADAS, has been a challenge problem for many years and hence become an important and active research topic in the area of intelligent transport systems. The realization of a real-time traffic sign recognition system is usually divided into three stages: detection, tracking and classification. This paper introduces the main difficulties in road sign recognition and briefly surveys the state-of-the-art technologies in this field with further discussions on the potential trend of development of road sign recognition.
Keywords :
driver information systems; image recognition; road safety; road traffic; advanced driver assistance systems; high-tech in-vehicle systems; intelligent transport systems; road traffic safety; traffic sign recognition; Driver circuits; Image color analysis; Image recognition; Pattern recognition; Real time systems; Roads; Shape; Advanced driver assistance system; Classification; Detection; Tracking; Traffic sign recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition (ICWAPR), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6530-9
Type :
conf
DOI :
10.1109/ICWAPR.2010.5576425
Filename :
5576425
Link To Document :
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