Asset Characterization Using Automated Methods

This project would explore the possible ways of using existing LiDAR and/or other third-party data to identify and catalog various assets such as bridges and culverts and some additional information about them. Possibly done in 2 phases. Phase I would look at the following: (1) identify various data attributes that should be produced from the research (culvert dimensions, bridge span etc.); (2) evaluate the minimal level of accuracy of the data required for it to be usable; (3) identify first-party and third-party data that are available to produce the data; (4) develop a machine learning algorithm to extract the relevant data; and (5) test the algorithm for select locations and evaluate if the results meet the need.


    • English


    • Status: Active
    • Funding: $200,000
    • Contract Numbers:


    • Sponsor Organizations:

      Missouri Department of Transportation

      1617 Missouri Boulevard
      P.O. Box 270
      Jefferson City, MO  United States  65102
    • Project Managers:

      Schulte, Brent

    • Performing Organizations:

      Missouri Center for Transportation Innovation

      Lafferre Hall
      416 S 6th St.
      Columbia, Missouri  United States  65201

      University of Missouri, Kansas City

      Department of Civil Engineering
      5100 Rockhill Road, Flarsheim Hall
      Kansas City, MO  United States  64110
    • Principal Investigators:

      Kim, Sungyop

      Baker, Donald

    • Start Date: 20230601
    • Expected Completion Date: 20240830
    • Actual Completion Date: 0

    Subject/Index Terms

    Filing Info

    • Accession Number: 01892500
    • Record Type: Research project
    • Source Agency: Missouri Department of Transportation
    • Contract Numbers: TR202311
    • Files: RIP, STATEDOT
    • Created Date: Sep 7 2023 9:25AM