Development of Drone-Assisted Pavement Profile Mapping: Near-Surface Void Detection Application

The main objective is to develop and test a drone-assisted workflow to be employed in planning road pavement maintenance work as well as post-maintenance work quality assessment with the specific aim of identifying near-surface voids. The developed process would provide Georgia Department of Transportation (GDOT) personnel with a report indicating location of areas needing repair and after repair, status reports of work performed by GDOT maintenance contractors. The proposed workflow would use images (visual and Infrared (IR)) and GPR data collected by drones that would be processed by algorithms developed at Georgia Tech in order to identify problem areas and determine if needed pavement repairs have been performed.

    Language

    • English

    Project

    • Status: Active
    • Funding: $264988
    • Contract Numbers:

      GDOT RP 20-10

    • Sponsor Organizations:

      Georgia Department of Transportation

      One Georgia Center
      600 West Peachtree Street, NW
      Atlanta, GA  United States  30308
    • Managing Organizations:

      Georgia Department of Transportation

      One Georgia Center
      600 West Peachtree Street, NW
      Atlanta, GA  United States  30308
    • Project Managers:

      Roney, Brennan

    • Performing Organizations:

      Georgia Tech Research Corporation

      505 Tenth Street
      Atlanta, GA  United States  30332-0420
    • Principal Investigators:

      Irizarry, J

    • Start Date: 20200813
    • Expected Completion Date: 20220213
    • Actual Completion Date: 0
    • USDOT Program: Research and Development

    Subject/Index Terms

    Filing Info

    • Accession Number: 01748376
    • Record Type: Research project
    • Source Agency: Georgia Department of Transportation
    • Contract Numbers: GDOT RP 20-10
    • Files: RiP, STATEDOT
    • Created Date: Aug 22 2020 12:26AM