• DocumentCode
    3850458
  • Title

    Vehicle detection using a hardware-implemented neural net

  • Author

    S. Mantri;B. Bullock;J. Garrett

  • Author_Institution
    Cincinnati Bell Inf. Syst., OH, USA
  • Volume
    12
  • Issue
    1
  • fYear
    1997
  • Firstpage
    15
  • Lastpage
    21
  • Abstract
    The authors describe how they developed a vehicle-detection model based on a radial basis function network and implemented it using the NI1000 recognition accelerator, which can classify up to 32,000 patterns per second-several hundred times faster than the software approach to neural net processing. A detection system using this implementation had a success rate greater than 90%.
  • Keywords
    "Vehicle detection","Neural networks","Vehicles","Detectors","Radial basis function networks","Information systems","Fluid flow measurement","Moisture","Digital images","Image recognition"
  • Journal_Title
    IEEE Expert
  • Publisher
    ieee
  • ISSN
    0885-9000
  • Type

    jour

  • DOI
    10.1109/64.577408
  • Filename
    577408
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3850458