MPC
Upcoming Webinar: Image-Based 3D Reconstruction of Utah Roadway Assets
Posted: Mar 5, 2021
Date: Thursday, March 11, 2021
Time: 10:30-11:30 a.m. Central Time
LiDAR (light detection and ranging) is a mature and efficient technology 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 relatively expensive; certain levels of expertise and training are required to use LiDAR scanners for data collection and processing results; and the technology may 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 (types and resolutions of cameras, using existing image repositories such as Google Street Views, etc.) for data collection purposes.
View the recorded webinar
Target Audience: Roadway asset managers, surveyors, designers, and others involved in managing and updating roadway assets.
Presenter: Abbas Rashidi, assistant professor of civil and environmental engineering. His research focuses on 1) information and sensing technologies for construction engineering and management 2) audio signal processing for modeling and analysis of civil infrastructure systems 3) video/image processing for 3D reconstruction of civil infrastructure systems, and 4) acoustical modeling of construction jobsites.
