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.
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Acknowledgments
This publication was supported by the project LO1506 of the Czech Ministry of Education, Youth and Sports, by the grant of the University of West Bohemia, project No. SGS-2016-039.
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Neduchal, P., Berka, F., Železný, M. (2017). Stationary Device for Drone Detection in Urban Areas. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds) Interactive Collaborative Robotics. ICR 2017. Lecture Notes in Computer Science(), vol 10459. Springer, Cham. https://doi.org/10.1007/978-3-319-66471-2_18
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DOI: https://doi.org/10.1007/978-3-319-66471-2_18
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