Utility Locating Technology Development Utilizing Multi-Sensor Platforms

Deployment of multiple sensing techniques is currently necessary in many instances in order to image the various utilities of differing materials, sizes, depths, conductivity, ground conditions, surface obstacles, etc. Covering the same ground more than once with different instruments or techniques is inefficient if one pass with multiple sensing devices will suffice. Time constraints, cost of equipment, understanding of equipment capabilities, and operator training may be factors that discourage necessary multiple passes with different devices. Enhanced utility detection and characterization may be gained through a single pass with a multi-sensor platform due to simultaneous signal processing and data fusion. Combined with improved coupling techniques, a multi-sensor platform may lead to enhanced, perhaps automated, interpretation (better quality, lower risk) and better efficiency (less disruption and cost). The goal of this research is not to just place two or more existing separate devices on a single platform, but to improve the detection ability and efficiency, and/or lower equipment and training costs with improved hardware systems and software packages. This project will support improvements in the detection and accurate determination of positions of buried utilities beyond Quality Level B as defined by CI/ASCE 38-02, the Standard Guidelines for the Collection and Depiction of Existing Subsurface Utility Data. The proposed combinations of new and/or existing sensor technologies and analysis software must offer significant advances in terms of utility detection and position (horizontal and vertical) from the ground surface across a wide range of soil types and site conditions. Enhanced utility detection is the primary objective. The technology will be validated by field tests of a multi-sensor platform that supports near- real- time utility detection and location. This multi-sensor platform must utilize at least two different geophysical methods and also be able to detect and assess existing electronic marker and transponder signals. Incorporation of methods that leverage the presence of known utilities to improve detection performance is encouraged.


  • English


  • Status: Completed
  • Funding: $1997336.00
  • Contract Numbers:

    Project R01(B)

  • Sponsor Organizations:

    Strategic Highway Research Program 2

    Transportation Research Board
    500 Fifth Street, NW
    Washington, DC    20001
  • Project Managers:

    Taylor, Chuck

  • Performing Organizations:

    Underground Imaging Technologies

  • Principal Investigators:

    Young, Gary

  • Start Date: 20091103
  • Expected Completion Date: 0
  • Actual Completion Date: 20120502
  • Source Data: RiP Project 21384

Subject/Index Terms

Filing Info

  • Accession Number: 01462167
  • Record Type: Research project
  • Source Agency: Transportation Research Board
  • Contract Numbers: Project R01(B)
  • Files: TRB, RiP
  • Created Date: Jan 3 2013 1:59PM