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Citation

Petr Neduchal and Filip Berka and Miloš Železný : Stationary device for drone detection in urban areas . International Conference on Interactive Collaborative Robotics, Lecture Notes in Computer Science, vol. 10459, p. 162-169, 2017.

Abstract

Drones became popular and useful in the last years. There are a lot of companies engaged in the unmanned aviation as well as ordinary people who want fly for fun. The problem arises when a drone is used against the law. Thus, the question of people protection against flying drones has to be addressed. This paper is focused on the creation of the stationary drone detection device suitable for using in urban areas. The main contribution of the paper is a detection approach composed of three parts. The motion detection, object description and classification. Moreover, the Robot Operating System is used in the proposed system in order to create an easily modifiable system. The performance of the proposed approach is tested in a couple of experiments. The system is able to distinguish a drone from e.g. a car or a walking person and it is able to work in real time.

Detail of publication

Title: Stationary device for drone detection in urban areas
Author: Petr Neduchal ; Filip Berka ; Miloš Železný
Language: English
Date of publication: 11 Aug 2017
Year: 2017
Type of publication: Papers in proceedings of reviewed conferences
Title of journal or book: International Conference on Interactive Collaborative Robotics
Series: Lecture Notes in Computer Science
Číslo vydání: 10459
Page: 162 - 169
DOI: 10.1007/978-3-319-66471-2_18
ISBN: 978-3-319-66471-2
/ 2019-11-21 09:16:54 /

Keywords

Image processing, Drone detection, Motion detection, Object classification, Camera Area monitoring

BibTeX

@INPROCEEDINGS{PetrNeduchal_2017_Stationarydevicefor,
 author = {Petr Neduchal and Filip Berka and Milo\v{s} \v{Z}elezn\'{y}},
 title = {Stationary device for drone detection in urban areas},
 year = {2017},
 journal = {International Conference on Interactive Collaborative Robotics},
 volume = {10459},
 pages = {162-169},
 series = {Lecture Notes in Computer Science},
 ISBN = {978-3-319-66471-2},
 doi = {10.1007/978-3-319-66471-2_18},
 url = {http://www.kky.zcu.cz/en/publications/PetrNeduchal_2017_Stationarydevicefor},
}