项目名称: |
Real-Time Traffic Analytics at Intersections |
摘要: |
Central to a smart transportation system is access to real-time data especially at points of planned conflict such as intersections. Unfortunately, visual data is too expensive in bandwidth for remote analysis. The proposed research focuses on performing analysis at the edge and only transmitting compact analysis results. Algorithms will be developed to detect and track vehicles, pedestrians, and bicyclists to summarize counts, travel direction, and notable events such as near collisions. Summary results will be submitted to a website for a real-time look of the road environment. |
状态: |
Completed |
资金: |
97867 |
资助组织: |
Carnegie Mellon University<==>Office of the Assistant Secretary for Research and Technology |
项目负责人: |
Kline, Robin |
执行机构: |
Carnegie Mellon University |
开始时间: |
20200701 |
预计完成日期: |
20210630 |
实际结束时间: |
20210802 |
主题领域: |
Data and Information Technology;Highways;Pedestrians and Bicyclists |