Virtual Learning

MPC Research: Image-Based 3D Reconstruction of Utah Roadway Assets (MPC-606)

• Mar 11, 2021
  Virtual Learning (desktop/laptop and mobile devices)

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Description

LiDAR (Light Detection and Ranging) is a mature and efficient technology currently used by various transportation agencies for highway asset management and data collection purposes. While effective, there are some limitations in using LiDAR as a common engineering tool: the technology is 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.

Speaker(s)

Abbas Rashidi, Associate Professor, University of Utah Abbas is currently an associate professor in the Civil and Environmental Engineering Department. He has been involved in numerous research projects.

Target Audience

Roadway asset managers, surveyors, designers and others involved in managing, updating roadway assets.