• 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