Vision-Based Detection of Bridge Damage Captured by Unmanned Aerial Vehicles (1.18)

Bridge inspection is a vital component of any bridge management strategy of a state DOT. A visual inspection is the predominant approach used in a routine inspection. With visual inspection, only basic tools are used. However, according to research, there can be significant variation in the condition ratings assigned to a structure simply based on visual inspection. The use of unmanned aerial vehicles (UAVs) has recently been explored for the use of bridge inspections. UAVs equipped with high resolution or infrared cameras can be used to scan a bridge taking hundreds of images and essentially building a navigable 3D model of the bridge. Additionally, recent advances in machine learning may be employed to automatically identify different types of bridge damage. This research project will evaluate the effectiveness of using more autonomous methods for the collection and analysis of bridge deck images for the purpose of identifying the type and extent of damage in concrete decks.

• Record URL:
  https://tidc.umaine.edu/tidc_project/1-18-uri/

Language

• English

Project

• Status: Active
• Funding: $351597
• Contract Numbers:

  69A3551847101

• Sponsor Organizations:

  Transportation Infrastructure Durability Center

  University of Maine
  Orono, ME  United States  04469

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590

  University of Rhode Island, Kingston

  Department of Civil and Environmental Engineering
  Kingston, RI  United States  02881

  Rhode Island Department of Transportation

  Two Capitol Hill
  Providence, RI  United States  02903-1124
• Managing Organizations:

  Transportation Infrastructure Durability Center

  University of Maine
  Orono, ME  United States  04469

  University of Rhode Island, Kingston

  Department of Civil and Environmental Engineering
  Kingston, RI  United States  02881
• Project Managers:

  Dunn, Denise

• Performing Organizations:

  Transportation Infrastructure Durability Center

  University of Maine
  Orono, ME  United States  04469

  University of Rhode Island, Kingston

  Department of Civil and Environmental Engineering
  Kingston, RI  United States  02881
• Principal Investigators:

  Gindy, Mayrai

  Hendawi, Abdeltawab

  Licht, Stephen

  Stegagno, Paolo

• Start Date: 20220901
• Expected Completion Date: 20250325
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Bridge decks; Concrete bridges; Highway bridges; Inspection; Inspection equipment; Machine vision; Unmanned aircraft systems
• Subject Areas: Bridges and other structures; Data and Information Technology; Highways; Maintenance and Preservation;

Filing Info

• Accession Number: 01851438
• Record Type: Research project
• Source Agency: Transportation Infrastructure Durability Center
• Contract Numbers: 69A3551847101
• Files: UTC, RIP
• Created Date: Jul 15 2022 2:30PM