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MPC
Project Details

Title:Image-Based 3D Reconstruction of Utah Roadway Assets
Principal Investigators:Abbas Rashidi
University:University of Utah
Status:Active
Year:2020
Grant #:69A3551747108 (FAST Act)
Project #:MPC-606
RiP #:01731222
Keywords:asset management, data collection, evaluation and assessment, feasibility analysis, highways, laser radar, photogrammetry, software
 

Abstract

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.

Project Word Files

NDSU Dept 2880P.O. Box 6050Fargo, ND 58108-6050
(701)231-7767ndsu.ugpti@ndsu.edu