Develop Guidelines for Integration of UAS LiDAR and Photogrammetry to Enhance Land Surveying Capabilities
| 项目名称： | Develop Guidelines for Integration of UAS LiDAR and Photogrammetry to Enhance Land Surveying Capabilities |
| 摘要： | Unmanned aircraft systems (UASs) equipped with digital cameras, light detection and ranging (LiDAR) sensors, or both enable the collection of high spatial resolution three-dimensional (3D) quantitative geospatial data. This data may be used to support a variety of surveying and mapping activities, potentially with lower costs and greater safety than traditional survey methods. When using a camera, the technique is called Structure-from-Motion photogrammetry or UAS-SfM. In practice, there are important differences between UAS-SfM and UAS-LiDAR including measurement fidelity, operational considerations, post-processing workflows, and cost-effectiveness. With a lack of clear guidance on when UAS-SfM versus UAS-LiDAR is the best fit for a specific task, there is a need to evaluate the real-world performance capabilities and limitations of both technologies. |
| 状态： | Active |
| 资金： | 499992 |
| 资助组织： | Texas Department of Transportation |
| 管理组织： | Texas Department of Transportation |
| 项目负责人： | Glancy, Chris |
| 执行机构： | Texas A&M University - Corpus Christi<==>Texas A&M Transportation Institute |
| 主要研究人员： | Starek, Michael J |
| 开始时间： | 20220901 |
| 预计完成日期： | 20240831 |
| 主题领域： | Data and Information Technology；Highways |
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