@inproceedings{2bc8daaa531d42408d0da1654f5177f3,
title = "Autonomous ground piipelines tracking via an UAV",
abstract = "With the aim of inspecting ground pipelines autonomously, an Unmanned Aerial Vehicle (UAV) will be used in this research. Arbitrary object contours in a 2D image could be considered as plane shapes, which will be used to identify their structures. Vision-based tracking is proposed because it is relatively more direct and more accurate than other sensors such as GPS. Image processing is applied to obtain object position information after capturing images by UAV camera, and then the UAV tracks the structure according to these position data autonomously. For such a process, controllers play a key role which can affect response, sensitivity, accuracy and stability of the tracking. In this research, a velocity controller is applied.",
keywords = "Autonomous Navigation, ground pipeline tracking, UAV, Visual Tracking",
author = "Huang Xiaoqian and Amit Shukla and Hamad Karki",
note = "Funding Information: This paper is supported by GRC DHABI through the project GRC 013. Publisher Copyright: {\textcopyright} 2016 IEEE.; 13th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2017 ; Conference date: 16-12-2016 Through 18-12-2016",
year = "2017",
month = oct,
day = "20",
doi = "10.1109/ICCWAMTIP.2016.8079876",
language = "British English",
series = "2016 13th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "372--375",
booktitle = "2016 13th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2017",
address = "United States",
}