• Title of article

    Innovative process to characterize buried utilities using Ground Penetrating Radar

  • Author/Authors

    Lester، نويسنده , , Jim and Bernold، نويسنده , , Leonhard E.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2007
  • Pages
    10
  • From page
    546
  • To page
    555
  • Abstract
    Todayʹs non-invasive technologies for locating buried utilities can be considered as ancient. However, Ground Penetrating Radar (GPR) has recently received significant attention from the scientific community since it showed great promise in detecting landmines. Yet, the complexities of the underground, especially in inhabited areas, makes “seeing-through-the-earth” to find buried utilities extremely difficult. This paper presents the results of a data processing method, called Translation Invariant Wavelet Packet Detection (TIWPD), applied to filtering GPR data collected on a university campus. It first provides a brief introduction into the working principles of scanning the ground with electromagnetic radar waves that are being refracted, scattered, and reflected by buried objects of all sizes and materials. In its main section, the paper presents the results of experimental deployment of the system during a construction project that involved the extensive excavation trenches to lay chilled water pipes. The significance of this paper lies in its use of real-world GPR data to demonstrate the performance characteristics of the filtering process and its validation with the actual condition found during excavation. The encouraging results of this work should provide the basis for developing a near-real time utility detection system that can be used by laborers in the field.
  • Keywords
    ground penetrating radar , data filtering , Buried utility protection , Non-invasive utility detection , Accident prevention , Translation Invariant Wavelet Packet Detection
  • Journal title
    Automation in Construction
  • Serial Year
    2007
  • Journal title
    Automation in Construction
  • Record number

    1337881