Automated Interpretation of Culvert Inspection Videos Using Artificial Intelligence and Computer Vision
This research will automate the interpretation process of culvert inspection videos, allowing it to be more efficient and resource-saving.
Language
- English
Project
- Status: Active
- Funding: $50000
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Contract Numbers:
24-8333
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Sponsor Organizations:
Utah Department of Transportation
Research and Innovation Division
Salt Lake City, UT United States 84114 -
Managing Organizations:
Utah Department of Transportation
Research and Innovation Division
Salt Lake City, UT United States 84114 -
Project Managers:
Loveless, Brad
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Performing Organizations:
Department of Civil and Environmental Engineering
110 Central Campus Drive Suite 2000
Salt Lake City, UT United States 84112 -
Principal Investigators:
Rashidi, Abbas
- Start Date: 20230919
- Expected Completion Date: 20240915
- Actual Completion Date: 0
- USDOT Program: Transportation Performance Management, Asset Management, and Maintenance
Subject/Index Terms
- TRT Terms: Artificial intelligence; Computer vision; Culverts; Information processing; Inspection; Video
- Subject Areas: Bridges and other structures; Data and Information Technology; Highways; Maintenance and Preservation;
Filing Info
- Accession Number: 01895507
- Record Type: Research project
- Source Agency: Utah Department of Transportation
- Contract Numbers: 24-8333
- Files: RIP, STATEDOT
- Created Date: Oct 6 2023 12:49PM