Computer Vision Tools for Bridge Inspections and Reporting

This project focuses on research to develop practical artificial intelligence (AI) tools that help bridge inspectors with defect detection and measurements and to facilitate the inspection and reporting following National Bridge Inventory (NBI) and AASHTO Manual for Bridge Element Inspection (MBEI) requirements. The research team will produce a final report with recommendations including a set of verified open-source computer vision codes for damage detection and measurements, a user-friendly software for routine inspection and reporting, as well as a user guide and training sessions for Alaska Department of Transportation and Public Facilities (DOT&PF) engineers.

• Record URL:
  • https://www.ctips.org/projects/details.php?id=615

Language

• English

Project

• Status: Active
• Funding: $214,735.00
• Contract Numbers:

  HFHWY00301

  4000(219)

  69A3552348308

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Alaska Department of Transportation and Public Facilities

  Research & Technology Transfer
  2301 Peger Road
  Fairbanks, AK  United States  99709-5399
• Project Managers:

  DeMattio, Cristina

  Tolliver, Denver

• Performing Organizations:

  South Dakota State University, Brookings

  Department of Civil and Environmental Engineering
  P.O. Box 2219
  Brookings, SD  United States  57007

  Alaska Department of Transportation and Public Facilities

  Research & Technology Transfer
  2301 Peger Road
  Fairbanks, AK  United States  99709-5399

  Center for Transformative Infrastructure Preservation and Sustainability

  North Dakota State University
  Fargo, North Dakota  United States  58108-6050
• Principal Investigators:

  Won, Kwanghee

  Tazarv, Mostafa

• Start Date: 20240723
• Expected Completion Date: 20251231
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Artificial intelligence; Bridges; Computer vision; Flaw detection; Inspection
• Geographic Terms: Alaska
• Subject Areas: Bridges and other structures; Data and Information Technology; Highways; Maintenance and Preservation;

Filing Info

• Accession Number: 01947025
• Record Type: Research project
• Source Agency: Alaska Department of Transportation and Public Facilities
• Contract Numbers: HFHWY00301, 4000(219), 69A3552348308
• Files: UTC, RIP, STATEDOT
• Created Date: Feb 21 2025 9:12PM