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:
Language
- English
Project
- Status: Active
- Funding: $351597
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Contract Numbers:
69A3551847101
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Sponsor Organizations:
Transportation Infrastructure Durability Center
University of Maine
Orono, ME United States 04469Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590University of Rhode Island, Kingston
Department of Civil and Environmental Engineering
Kingston, RI United States 02881Rhode 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 04469University of Rhode Island, Kingston
Department of Civil and Environmental Engineering
Kingston, RI United States 02881 -
Project Managers:
Dunn, Denise
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Performing Organizations:
Transportation Infrastructure Durability Center
University of Maine
Orono, ME United States 04469University 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: 20240630
- 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