• DocumentCode
    2187790
  • Title

    Vehicle-mounted outdoor signboard management system combinging MMS and RFID technologies

  • Author

    Liu, Yang ; Du, Mingyi ; Jing, Changfeng ; Shi, Ruoming

  • Author_Institution
    Sch. of Geomatics & Urban Inf., Beijing Univ. of Civil Eng. & Archit., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    2763
  • Lastpage
    2766
  • Abstract
    In this paper, the vehicle-mounted outdoor signboard management system (VOSMS) was designed and developed based on MMS and RFID technologies. In VOSMS, each outdoor signboard can be automatically identified in real-time though reading the active RFID tags attached to it. Wuhan LD2000-R MMS was adopted to acquire on-site image and video information of outdoor signboards . By VOSMS, legal or illegal outdoor signboards along streets can be automatically found out and located, and visual information can be viewed at the same time. Furthermore, the size of outdoor signboards can be measured on the images directly, and the density of outdoor signboards can also be calculated, and so on. VOSMS is a C/S software architecture system, the programming language is C# and SQL Server is the database server. To show how VOSMS can be effectively used to manage outdoor signboards, the system has been deployed in Beijing Garden Bureau of Xicheng District for their actual business.
  • Keywords
    C language; SQL; law administration; mobile computing; radiofrequency identification; visual databases; C# programming language; MMS technology; RFID tag; RFID technology; SQL server; Wuhan LD2000-R MMS; database server; mobile mapping system; on-site image information; vehicle mounted outdoor signboard management system; video information; visual information; Business; Cities and towns; Databases; Mobile communication; Radiofrequency identification; Roads; Visualization; Mobile Mapping System; Outdoor signboard; RFID; Vehicle-mounted;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350353
  • Filename
    6350353