Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)

NUCLEI: A New Unmanned Aerial Vehicle Early Warning Method for the No-fly Zone

Authors
Jiaming Wang, Bailong Yu, Zhifang Ma, Shenglan Yang, Li Lu, Wei Yang
Corresponding Author
Jiaming Wang
Available Online March 2018.
DOI
10.2991/acaai-18.2018.12How to use a DOI?
Keywords
UAV; no-fly zone; trajectory prediction; curve fitting
Abstract

In order to monitor the unmanned aerial vehicle(UAV) around the no-fly zone, we proposed a new unmanned aerial vehicle Early warning method for the no-fly zone (NUCLEI) which gives an alarm to the UAV around the no-fly zone in real time. We utilize the least square method to match with the flight trajectory of the UAV in the current period, and then we use the minimum external rectangle (MERT) method to obtain the MERT of the electronic fence. Finally, we calculate whether the tangent line at the current point of the flight path fits curve will intersect with the electronic fence to make the prediction for if the UAV will enter the no-fly zone.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)
Series
Advances in Intelligent Systems Research
Publication Date
March 2018
ISBN
978-94-6252-483-5
ISSN
1951-6851
DOI
10.2991/acaai-18.2018.12How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jiaming Wang
AU  - Bailong Yu
AU  - Zhifang Ma
AU  - Shenglan Yang
AU  - Li Lu
AU  - Wei Yang
PY  - 2018/03
DA  - 2018/03
TI  - NUCLEI: A New Unmanned Aerial Vehicle Early Warning Method for the No-fly Zone
BT  - Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)
PB  - Atlantis Press
SP  - 48
EP  - 52
SN  - 1951-6851
UR  - https://doi.org/10.2991/acaai-18.2018.12
DO  - 10.2991/acaai-18.2018.12
ID  - Wang2018/03
ER  -