Remote Sensing of Transportation Assets Using Drones and Artificial Intelligence
| 项目名称： | Remote Sensing of Transportation Assets Using Drones and Artificial Intelligence |
| 摘要： | The rapid acquisition, processing, and visualization of data can enhance the effectiveness of transportation planning, traffic operations, and incident response. Hence, agencies can benefit from data sensed remotely from transportation assets like roads, bridges, railroads, pipelines, freight yards, rights-of-way, and other essential assets such as signs and signals. So far, however, the remote sensing of transportation assets has been based primarily on satellite images, video, or photography from manned aircrafts. The commercial development of unmanned aircraft systems, commonly called drones, can enable remote sensing with many advantages because drones can generate more information, faster, at lower cost, and more safely. The intersection of artificial intelligence (AI) methods and sensor packages can further enhance those advantages. Therefore, the goal of this research is to distill and identify essential characteristics at the intersection of drones, sensors, and AI methods to advance applications in the remote sensing of transportation assets. |
| 状态： | Active |
| 资金： | 366000 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 项目负责人： | Tolliver, Denver |
| 执行机构： | Upper Great Plains Transportation Institute |
| 开始时间： | 20210917 |
| 预计完成日期： | 20220731 |
| 主题领域： | Aviation；Bridges and other structures；Data and Information Technology；Maintenance and Preservation；Transportation (General) |
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