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