• DocumentCode
    1667609
  • Title

    Construction and inspection management system using mobile augmented reality

  • Author

    Young-Tae Kim ; Jae-Young Lee ; Seok-Han Lee ; Jong-Soo Choi

  • Author_Institution
    Grad. Sch. of Adv. Imaging Sci., Multimedia & Film, Chung-Ang Univ., Seoul, South Korea
  • fYear
    2013
  • Firstpage
    93
  • Lastpage
    96
  • Abstract
    In this paper, we propose construction job-site monitoring system using a mobile. This system based on AR(Augmented Reality) improves general monitoring system by overlaying some information to the real world. It saves time, cost and prevents claims caused by the distance between the job site and the office. It consists of indoor and outdoor environments. In indoor environment, its very hard to detect feature points, so better to use frame markers. In order to improve detection rate and jitter, it uses histogram specification. In outdoor environment, location-based AR using GPS and a gyro sensor has a mismatch between the position displayed and the real position. Unfortunately the integrated compass may be inaccurate at times. Thats why we use natural feature points. To use this system for the mobile, we use FAST(Features from Accelerated Segment Test) comer detection and modified SIFT(Scale Invariant Feature Transform). This system is composed with various functions to be useful at construction sites such as the workers location, drawings, construction materials, a work order and schedule management.
  • Keywords
    augmented reality; construction; inspection; structural engineering computing; FAST comer detection; GPS; construction job-site monitoring system; construction materials; detection rate improvement; drawings; feature points; features from accelerated segment test; frame markers; general monitoring system improvement; gyrosensor; histogram specification; indoor environments; inspection management system; jitter improvement; modified SIFT; natural feature points; outdoor environments; scale invariant feature transform; schedule management; work order; workers location; Augmented reality; Cameras; Computational modeling; Computer vision; Joints; Mobile communication; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers of Computer Vision, (FCV), 2013 19th Korea-Japan Joint Workshop on
  • Conference_Location
    Incheon
  • Print_ISBN
    978-1-4673-5620-6
  • Type

    conf

  • DOI
    10.1109/FCV.2013.6485467
  • Filename
    6485467