Vehicle Tracking and Controlling Based on Roadside Cameras

被引：1
|
作者：
He, Huan [1 ]
Chen, Sicong [1 ]
Sun, Weiqi [1 ]
Li, Yuanlong [1 ]
Shi, Liangren [2 ]
机构：
[1] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China
[2] Shanghai Jiao Tong Univ, Acad Informat Technol & Elect Engn, Shanghai 200240, Peoples R China
来源：
2020 CHINESE AUTOMATION CONGRESS (CAC 2020) | 2020年
关键词：
Kalman filter; roadside vision; vehicle target tracking;
D O I：
10.1109/CAC51589.2020.9327140
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 design a vehicle target tracking system based on roadside cameras. This system contains vehicles and devices on roadside including computation units. The motion of vehicles is captured by cameras, and then is sent to computation units, in which the YOLO-V3 algorithm is used to identify the target vehicles. In particular, the Kalman filter is utilized to estimate the position and velocity of vehicles we are interested in. Moreover, we design a PID control law to drive the target vehicles to the designed sites. Experimental results show that the system we design can achieve vehicle target tracking by using roadside cameras.
引用
收藏
页码：7331 / 7336
页数：6
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