• DocumentCode
    606505
  • Title

    Demonstrating CrowdInside: A system for the automatic construction of indoor floor-plans

  • Author

    Alzantot, Moustafa ; Youssef, Moustafa

  • Author_Institution
    Wireless Res. Center, Egypt-Japan Univ. of Sc. & Tech. (EJUST), Alexandria, Egypt
  • fYear
    2013
  • fDate
    18-22 March 2013
  • Firstpage
    321
  • Lastpage
    323
  • Abstract
    The existence of a worldwide indoor floor-plans database can lead to significant growth in pervasive computing, especially for indoor environments. In this demonstration, we show CrowdInside: a crowdsourcing-based system for the automatic construction of buildings floor-plans. CrowdInside leverages the smart phones sensors that are ubiquitously available with humans who use a building to automatically and transparently construct accurate motion traces. CrowdInside processes the collected motion traces from different visitors of a building to detect its overall floor-plan shape as well as higher level semantics such as number of rooms, their shapes and locations, and corridors shapes along with a variety of points of interest in the environment. The goal of this demo is to show how the accurate motion traces are constructed as well as how the building floor-plan can be automatically generated.
  • Keywords
    architectural CAD; architecture; buildings (structures); shape recognition; smart phones; structural engineering computing; ubiquitous computing; CrowdInside; automatic building floor-plan construction; crowdsourcing-based system; floor-plan shape detection; higher level semantics; indoor environment; motion trace; pervasive computing; smart phone sensor; worldwide indoor floor-plan database; Buildings; Intelligent sensors; Motion segmentation; Shape; Smart phones; Automatic floor-plans construction; crowdsourcing; mobile computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications Workshops (PERCOM Workshops), 2013 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-5075-4
  • Electronic_ISBN
    978-1-4673-5076-1
  • Type

    conf

  • DOI
    10.1109/PerComW.2013.6529506
  • Filename
    6529506