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.
Language
- English
Project
- Status: Active
- Funding: $200,000
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Contract Numbers:
TR202311
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Sponsor Organizations:
Missouri Department of Transportation
1617 Missouri Boulevard
P.O. Box 270
Jefferson City, MO United States 65102 -
Project Managers:
Schulte, Brent
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Performing Organizations:
Missouri Center for Transportation Innovation
Lafferre Hall
416 S 6th St.
Columbia, Missouri United States 65201University 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: 20241130
- Actual Completion Date: 0
Subject/Index Terms
- TRT Terms: Asset management; Bridges; Culverts; Data collection; Data quality; Laser radar; Machine learning
- Subject Areas: Bridges and other structures; Data and Information Technology; Highways; Maintenance and Preservation;
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