Bridge Deck Inspection Using Small Unmanned Aircraft Systems Based Airborne Imaging Techniques

Traditional bridge deck inspection is primarily conducted on the ground by having inspectors either visually inspect the surface condition or interpret the acoustic feedback from hammer sounding or chain dragging method to determine the subsurface condition. These traditional methods are expensive, time-consuming, labor-intensive, unsafe, can exhibit a high degree of variability, and require specialized staff on a regular basis. In recent years, many remote sensing technologies have shown promise in bridge deck inspection. This project will focus on using small unmanned aircraft systems (sUAS) based airborne imaging techniques and image analysis techniques to develop a complete data acquisition and analysis system to accurately and rapidly detect bridge deck surface and subsurface distresses at a low cost. This project will also develop a guidebook for the implementation of the proposed bridge deck inspection system to assist transportation agencies with workforce development and professional training.


  • English


  • Status: Completed
  • Funding: $100000
  • Contract Numbers:


  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Transportation Consortium of South-Central States (Tran-SET)

    Louisiana State University
    Baton Rouge, LA  United States  70803
  • Project Managers:

    Melson, Christopher

  • Performing Organizations:

    University of New Mexico

    Department of Civil Engineering
    Albuquerque, NM  United States  87131
  • Principal Investigators:

    Zhang, Su

    Baros, Shirley

    Bogus, Susan

  • Start Date: 20190815
  • Expected Completion Date: 20210815
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01713245
  • Record Type: Research project
  • Source Agency: Transportation Consortium of South-Central States (Tran-SET)
  • Contract Numbers: 69A3551747106
  • Files: UTC, RIP
  • Created Date: Aug 6 2019 1:59PM