A Multi-Sensor Edge-Based System for Intelligent Traffic Intersections

被引：1
|
作者：
Banerjee, Tania [1 ]
Karnati, Yashaswi [1 ]
Chen, Ke [1 ]
Lebedev, Yury [1 ]
Wu, Aotian [1 ]
Sengupta, Rahul [1 ]
Rangarajan, Anand [1 ]
Ranka, Sanjay [1 ]
机构：
[1] Univ Florida, Dept Comp & Informat Sci & Engn, Gainesville, FL 32611 USA
来源：
2022 FIFTH INTERNATIONAL CONFERENCE ON CONNECTED AND AUTONOMOUS DRIVING (METROCAD 2022) | 2022年
关键词：
D O I：
10.1109/MetroCAD56305.2022.00011
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we describe multi-sensor system called MIDAS (Modern Intersection Dynamics Analytics System) for real-time and offline traffic analysis at one or more intersections. Fusing both video and ground sensor data, along with signal timing information, the system has been used for a variety of pedestrian and vehicle related applications, including conflict detection in object movements, turn movement counts, incident detection and management, and demand profiling.
引用
收藏
页码：39 / 46
页数：8
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