Automating Inspection and Damage Assessment of Transportation Infrastructure with Photographic Imaging

Maintaining safe operating conditions and effectively allocating maintenance resources depends on accurate and timely assessments of transportation infrastructure condition. Visual inspection of transportation structures is limited by a lack of optimal means of quantifying assessments and tracking changes in such assessments over time. Although several branches of inspection are thorough and robust, most rely on somewhat subjective measures that are in the eye of the beholder and accordingly can have significant levels of variation across different inspectors (Moore et. al., 2001). In this work, a more objective method of inspection and assessment is proposed using technology associated with recently developed methodologies known as Structure from Motion (SFM). This technology allows assessments to be made from a sequence of digital photographs from non-specialized, low-cost equipment (Westoby et al., 2012, Koutsodis et al., 2014). This proposal outlines how such a procedure can be used to develop methods of inspection and assessment of environmental degradation or traumatic damage that is more objective and potentially more valuable in prioritizing transportation structures for repair or maintenance.

Language

  • English

Project

  • Status: Active
  • Funding: $99482
  • Contract Numbers:

    DTRT13-G-UTC38

  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Kline, Robin

  • Performing Organizations:

    Colorado State University

    Department of Civil and Environmental Engineering
    Campus Delivery 1372
    Fort Collins, Colorado  United States  80523
  • Principal Investigators:

    Heyliger, Paul

    Atadero, Rebecca

  • Start Date: 20160329
  • Expected Completion Date: 20180731
  • Actual Completion Date: 0
  • Source Data: MPC-507

Subject/Index Terms

Filing Info

  • Accession Number: 01601182
  • Record Type: Research project
  • Source Agency: Mountain-Plains Consortium
  • Contract Numbers: DTRT13-G-UTC38
  • Files: UTC, RiP
  • Created Date: May 31 2016 12:02PM