Image-Based 3D Reconstruction of Utah Roadway Assets

LiDAR (Light Detection and Ranging) is a mature and efficient technology currently used by various transportation agencies for highways asset management and data collection purposes. While effective, there are some limitations in using LiDAR as a common engineering tool: The technology is pretty expensive; certain levels of expertise and training are required to use LiDAR scanners for data collection and processing results, and finally it might not be available to all units and individuals. Close-range photogrammetry is another emerging technology that could be considered as a potential alternative for LiDAR scanning devices. The technology is based on processing images and videos simply captured by off-the-shelf cameras or smartphones. Unlike LiDAR, close-range photogrammetry is very cost effective, simple, and easy-to-use. This project is an attempt to study the feasibility of using photogrammetry for highway asset management purposes within the state of Utah. The project includes two major components: (1) evaluating available photogrammetric software packages in terms of generating high-quality point clouds of highway assets and (2) developing and evaluating necessary hardware settings (type and resolutions of cameras, using existing image repositories such as google street views, etc.) for data collection purposes.

Language

  • English

Project

  • Status: Completed
  • Funding: $54000
  • Contract Numbers:

    69A3551747108

  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Mountain-Plains Consortium

    North Dakota State University
    Fargo, ND  United States  58108
  • Project Managers:

    Tolliver, Denver

  • Performing Organizations:

    Civil and Environmental Engineering

    University of Utah
    Salt Lake City, UT  United States 
  • Principal Investigators:

    Rashidi, Abbas

  • Start Date: 20200218
  • Expected Completion Date: 20230731
  • Actual Completion Date: 20221102
  • USDOT Program: University Transportation Centers Program
  • Source Data: MPC-606

Subject/Index Terms

Filing Info

  • Accession Number: 01731222
  • Record Type: Research project
  • Source Agency: Mountain-Plains Consortium
  • Contract Numbers: 69A3551747108
  • Files: UTC, RIP
  • Created Date: Feb 19 2020 8:14PM