Image-Based 3D Reconstruction of Utah Roadway Assets
| 项目名称： | Image-Based 3D Reconstruction of Utah Roadway Assets |
| 摘要： | 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. |
| 状态： | Active |
| 资金： | 54000 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 项目负责人： | Tolliver, Denver |
| 执行机构： | Civil and Environmental Engineering |
| 开始时间： | 20200218 |
| 预计完成日期： | 20220731 |
| 主题领域： | Construction；Data and Information Technology；Highways |
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