Human-centered Steel Bridge Inspection enabled by Augmented Reality and Artificial Intelligence

The main objective of this proposed research is to provide state departments of transportation (DOTs) practical tools for supporting human-centered steel bridge inspection with real-time defect (e.g., fatigue cracks and corrosion) detection, documentation, tracking, and decision making. The proposed research will not only bridge the gaps identified in the Innovations Deserving Exploratory Analysis (IDEA) project, but also expand the existing capability by developing artificial intelligence (AI) algorithms for crack and corrosion detection. In addition to augmented reality (AR) headsets, the project will also develop AR-based inspection capability using tablet devices. The tablet device can be used to perform AR-based inspection directly in a similar way to the AR headset. It can also leverage Unmanned Aerial Vehicles (UAV) for remote image and video acquisition during inspections, enabling bridge inspections from a distance in a human-centered manner.

Language

  • English

Project

  • Status: Programmed
  • Funding: $600000
  • Contract Numbers:

    TPF-5(535)

  • Sponsor Organizations:

    California Department of Transportation

    1227 O Street
    Sacramento, CA  United States  95814

    Kansas Department of Transportation

    Eisenhower State Office Building
    700 SW Harrison Street
    Topeka, KS  United States  66603-3754

    Texas Department of Transportation

    125 E. 11th Street
    Austin, TX  United States  78701-2483

    North Carolina Department of Transportation

    P.O. Box 25201
    1 South Wilmington Street
    Raleigh, NC  United States  27611
  • Managing Organizations:

    Kansas Department of Transportation

    Eisenhower State Office Building
    700 SW Harrison Street
    Topeka, KS  United States  66603-3754
  • Project Managers:

    Behzadpour, David

  • Start Date: 20240708
  • Expected Completion Date: 0
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01922765
  • Record Type: Research project
  • Source Agency: Federal Highway Administration
  • Contract Numbers: TPF-5(535)
  • Files: RIP, USDOT
  • Created Date: Jun 26 2024 9:55AM