@inproceedings{1fcf48e671804a8e92e1742e8a1508c4,
title = "An intelligent visual line tracking system via quadrotor platform",
abstract = "This paper proposes a scheme using open source autopilot controller and on-board computer (i.e. Raspberry Pi 2) to realize vision tracking flight mission based on computer vision. System structure design, image processing and controller are introduced respectively. The proposed image processing algorithm can reduce computational work and also the well designed controller can realize line tracking. Experiment result based on DJI F450 quadrotor is provided to demonstrate the effectiveness of the proposed scheme.",
keywords = "APM, Image Processing, PID Control Scheme, Quadrotor, Raspberry Pi 2",
author = "Yaoxian Song and Yinqiu Wang and Jian Wang and Zhixun Li and Gao Li and Fengmin Yu",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 28th Chinese Control and Decision Conference, CCDC 2016 ; Conference date: 28-05-2016 Through 30-05-2016",
year = "2016",
month = aug,
day = "3",
doi = "10.1109/CCDC.2016.7532139",
language = "English",
series = "Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6339--6344",
booktitle = "Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016",
address = "United States",
}