DocumentCode :
3752574
Title :
A smart traffic sign recognition system
Author :
Adnan Shaout;Nevrus Kaja;Selim Awad
Author_Institution :
The University of Michigan - Dearborn, The Electrical and Computer Engineering Department, 48128, United States
fYear :
2015
Firstpage :
157
Lastpage :
162
Abstract :
As technology is evolving we have seen an exponential increase for vision systems in various areas. This phenomenon is happening in automotive industries as well, where vision is playing an important role in achieving the main objective of driverless cars. This paper addresses some of the advantages and drawbacks that computer vision has in assisting Advanced Driver Assist Systems (ADAS) and proposes a new method for real time traffic sign recognition (TSR) system which combines intelligent algorithms with classical image recognition algorithms.
Keywords :
"Testing","Support vector machines"
Publisher :
ieee
Conference_Titel :
Computer Engineering Conference (ICENCO), 2015 11th International
Type :
conf
DOI :
10.1109/ICENCO.2015.7416341
Filename :
7416341
Link To Document :
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