UAS Image-Based Point Clouds to 3D BrIM: Deep Semantic Segmentation
The mobility of people and goods is highly dependent on the health of a nation’s transportation system. However, the U.S. infrastructure has been repeatedly graded in poor condition (ASCE, 2017), and the budget available to either repair or replace these structures is limited (USDOT, 2017). Timely inspection and effective maintenance of bridges is crucial to avoid any issues that may have a negative impact on public mobility. However, current bridge inspection practice inhibits the collection and analysis of information regarding the status of bridges in an efficient and timely manner. This problem is further exacerbated by the large number of bridges in the U.S. and the limited number of inspectors available.
Language
- English
Project
- Status: Active
- Funding: $80000
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Contract Numbers:
69A3551747110
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Sponsor Organizations:
United States Department of Transportation - FHWA - TTAP
1200 New Jersey Avenue, SE
Washington, DC 20590Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
University of Washington, Seattle
433 Brooklyn Ave. NE
Box 359472
Seattle, WA United States 98195-9472 -
Performing Organizations:
Oregon State University, Corvallis
204 Rogers Hall
Corvallis, OR United States 97331 -
Principal Investigators:
Turkan, Yelda
- Start Date: 20190916
- Expected Completion Date: 20210915
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Bridges; Data collection; Drones; Inspection; Maintenance management
- Subject Areas: Bridges and other structures; Data and Information Technology; Highways; Maintenance and Preservation;
Filing Info
- Accession Number: 01723941
- Record Type: Research project
- Source Agency: Pacific Northwest Transportation Consortium
- Contract Numbers: 69A3551747110
- Files: UTC, RiP
- Created Date: Nov 27 2019 7:31PM