Image Processing Approaches to Traffic Situation Understanding, Risk Assessment, and Safety
| 项目名称： | Image Processing Approaches to Traffic Situation Understanding, Risk Assessment, and Safety |
| 摘要： | This project will explore several potential applications of image processing, including NN/deep learning technologies, to the analysis of traffic scenes involving passenger and transit vehicles. The project team outlines three potential applications below- the exact distribution of effort and topics addressed will depend on the availability of student and research staff. (1) Traffic scene risk assessment and driver behavior understanding (2) Methodologies for extracting information from transit vehicle video for traffic flow estimation (3) Optical flow for automated vehicle lane following |
| 状态： | Active |
| 资金： | 84818.00 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | Carnegie Mellon University |
| 项目负责人： | Kline, Robin |
| 执行机构： | The Ohio State University |
| 主要研究人员： | Redmill, Keith |
| 开始时间： | 20181001 |
| 预计完成日期： | 20220630 |
| 实际结束时间： | 0 |
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