Synthesis of Information Related to Highway Practices. Topic 54-14. Artificial Intelligence Applications for Automated Pavement Condition Evaluation
| 项目名称： | Synthesis of Information Related to Highway Practices. Topic 54-14. Artificial Intelligence Applications for Automated Pavement Condition Evaluation |
| 摘要： | The objective of this synthesis is to document state DOT current practices of automated pavement distress identification and AI (ML/DL) technologies for pavement condition evaluation. Information to be gathered includes (but is not limited to): (1) Requirements for automated pavement distress identification; (2) Various applications of pavement distress condition information; (3) Types of agency decision-making supported by pavement condition data; (4) Artificial intelligence (e.g., machine learning, deep learning) technologies, tools, and models currently being applied to pavement distress detection and classification and to pavement condition evaluation; and (5) Ground truth / reference / benchmark data used in AI-technique development, training, and evaluation. |
| 状态： | Programmed |
| 资金： | 55000 |
| 资助组织： | National Cooperative Highway Research Program；American Association of State Highway and Transportation Officials (AASHTO)；Federal Highway Administration |
| 项目负责人： | Harwood, Leslie C |
| 开始时间： | 20220516 |
| 主题领域： | Administration and Management；Data and Information Technology；Highways；Maintenance and Preservation；Pavements |
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