UAS Image-Based Point Clouds to 3D BrIM: Deep Semantic Segmentation
| 项目名称： | UAS Image-Based Point Clouds to 3D BrIM: Deep Semantic Segmentation |
| 摘要： | The mobility of people and goods is highly dependent on the health of a nation’s transportation system. However, the U.S. infrastructure has been repeatedly graded in poor condition (ASCE, 2017), and the budget available to either repair or replace these structures is limited (USDOT, 2017). Timely inspection and effective maintenance of bridges is crucial to avoid any issues that may have a negative impact on public mobility. However, current bridge inspection practice inhibits the collection and analysis of information regarding the status of bridges in an efficient and timely manner. This problem is further exacerbated by the large number of bridges in the U.S. and the limited number of inspectors available. |
| 状态： | Active |
| 资金： | 80000 |
| 资助组织： | United States Department of Transportation - FHWA - TTAP<==>Office of the Assistant Secretary for Research and Technology |
| 执行机构： | Oregon State University, Corvallis |
| 开始时间： | 20190916 |
| 预计完成日期： | 20210915 |
| 主题领域： | Bridges and other structures；Data and Information Technology；Highways；Maintenance and Preservation |
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