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
相关论文
共 50 条
  • [41] Controlling tracking trajectory of a robotic vehicle for inspection of underwater structures
    Ferreira, Cristiano Zacarrias
    Cardoso, Reginaldo
    Mendoza Meza, Magno Enrique
    Julca Avila, Juan Pablo
    OCEAN ENGINEERING, 2018, 149 : 373 - 382
  • [42] Roadside Sensor based Vehicle Counting in Complex Traffic Environment
    Chen, Zhiqiang
    Liu, Zhen
    Hui, Yilong
    Li, Wengang
    Li, Changle
    Luan, Tom H.
    Mao, Guoqiang
    2019 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2019,
  • [43] Research on Vehicle Pose Detection Method Based on a Roadside Unit
    Ni, Juan
    Kong, Xiangcun
    Yan, Bingchen
    Si, Shuzhe
    Shi, Shuyue
    Guo, Dong
    Wang, Pengwei
    Wang, Lei
    Xu, Yi
    SENSORS, 2024, 24 (14)
  • [44] Object Tracking Based on the Fusion of Roadside LiDAR and Camera Data
    Wang, Shujian
    Pi, Rendong
    Li, Jian
    Guo, Xinming
    Lu, Youfu
    Li, Tao
    Tian, Yuan
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71
  • [45] Object Tracking Based on the Fusion of Roadside LiDAR and Camera Data
    Wang, Shujian
    Pi, Rendong
    Li, Jian
    Guo, Xinming
    Lu, Youfu
    Li, Tao
    Tian, Yuan
    IEEE Transactions on Instrumentation and Measurement, 2022, 71
  • [46] Dynamic camera calibration of roadside traffic management cameras
    Schoepflin, TN
    Dailey, DJ
    IEEE 5TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, PROCEEDINGS, 2002, : 25 - 30
  • [47] Video-Based Vehicle Counting for Expressway: A Novel Approach Based on Vehicle Detection and Correlation-Matched Tracking Using Image Data from PTZ Cameras
    Meng, Qiao
    Song, Huansheng
    Zhang, Yu'an
    Zhang, Xiangqing
    Li, Gang
    Yang, Yanni
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 2020
  • [48] Interest Points based Object Tracking with Controlled Cameras
    Xu, Zhengya
    Wu, Hong Ren
    Yu, Xinghuo
    2009 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY, VOLS 1-3, 2009, : 463 - 468
  • [49] Homography-based tracking for central catadioptric cameras
    Mei, Christopher
    Benhimane, Selim
    Malis, Ezio
    Rives, Patrick
    2006 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-12, 2006, : 669 - +
  • [50] Development of image tracking system based on network cameras
    Sawamura, Yoshihiro
    Iwase, Masami
    Hatakeyama, Shoshiro
    2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13, 2006, : 5602 - +
12345