• DocumentCode
    3499517
  • Title

    The Extension-Based Recognition Method of Vehicle Type

  • Author

    Yigui, Qiu ; Yuanyuan, Yang ; Ling, Zhang ; Xing, Liu

  • Author_Institution
    Guangdong Univ. of Technol., Guangzhou
  • Volume
    2
  • fYear
    2008
  • fDate
    11-13 Nov. 2008
  • Firstpage
    921
  • Lastpage
    925
  • Abstract
    The automatic recognition of vehicle type plays an important role in traffic management and automatic toll collection. The research of the recognition mainly focuses on the application of fuzzy theory and neural network theory at present. This paper presents a method which applies extension set and dependent function to process the characteristic data of vehicle. The method can identify common cars, buses and trucks. It also establishes the relationship between the characteristic data of vehicle and the real number. It is of great help to the standardization of computer processing.
  • Keywords
    fuzzy set theory; neural nets; object recognition; road traffic; road vehicles; traffic information systems; automatic recognition; automatic toll collection; computer processing; extension-based recognition method; fuzzy theory; neural network theory; traffic management; vehicle type; Automated highways; Conference management; Fuzzy neural networks; Information technology; Intelligent systems; Neural networks; Standardization; Technology management; Telecommunication traffic; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on
  • Conference_Location
    Busan
  • Print_ISBN
    978-0-7695-3407-7
  • Type

    conf

  • DOI
    10.1109/ICCIT.2008.49
  • Filename
    4682364