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
Contract Numbers:
69A3551747110
Sponsor Organizations:
United States Department of Transportation - FHWA - TTAP

1200 New Jersey Avenue, SE
Washington, DC 20590

Office 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