UAS-Assisted Inspection of Bridges for Corrosion Effects

The main objective of this research is to provide GDOT with a proof-of-concept study for the ability to detect and characterize corrosion based on drone-collected imagery data. While drone data has been used to capture images about bridges, methodologies to quantitively assess and utilize this data are lacking. A main objective of this project is to explore the feasibility of using drones to capture data relevant to corrosion and create methodologies to analyze this data to both detect and characterize corrosion levels using this collected data.

Language

• English

Project

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

  GDOT RP 22-01

• Sponsor 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 Institute of Technology, Atlanta

  Georgia Tech Research Corporation
  505 10th Street, Suite 213
  Atlanta, GA  United States  30332
• Principal Investigators:

  Tien, Iris

• Start Date: 20220825
• Expected Completion Date: 20231225
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Bridges; Corrosion; Data collection; Drones; Image analysis
• Subject Areas: Bridges and other structures; Data and Information Technology; Highways; Maintenance and Preservation;

Filing Info

• Accession Number: 01856202
• Record Type: Research project
• Source Agency: Georgia Department of Transportation
• Contract Numbers: GDOT RP 22-01
• Files: RIP, STATEDOT
• Created Date: Aug 26 2022 8:54PM