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