• DocumentCode
    1792724
  • Title

    Light pole localization in a smart city

  • Author

    Holenderski, Mike ; Verhoeven, Richard ; Ozcelebi, Tanir ; Lukkien, Johan J.

  • Author_Institution
    Dept. of Math. & Comput. Sci., Tech. Univ. Eindhoven, Eindhoven, Netherlands
  • fYear
    2014
  • fDate
    16-19 Sept. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Many smart city lighting applications require information about the location of light poles, in particular about which light poles are neighbors along the street with respect to passing traffic. This paper addresses the problem of deriving the topology of light poles in a smart city, relying only on the data gathered from Passive Infrared Sensors attached to the light poles. A statistical algorithm is presented and evaluated based on a data set gathered from a real deployment in a residential area.
  • Keywords
    graph theory; infrared detectors; road traffic; statistical analysis; street lighting; data gathering; light pole localization; light pole topology; passive infrared sensors; residential area; road traffic; smart city; smart city lighting applications; statistical algorithm; Accuracy; Cities and towns; Lighting; Sensors; Standards; Topology; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technology and Factory Automation (ETFA), 2014 IEEE
  • Conference_Location
    Barcelona
  • Type

    conf

  • DOI
    10.1109/ETFA.2014.7005300
  • Filename
    7005300