University of Oulu

P. Šul’aj, R. Haluška, L. Ovseník, S. Marchevský, P. Pulli and V. Kramar, "UAV Management System for the Smart City," 2018 World Symposium on Digital Intelligence for Systems and Machines (DISA), Kosice, 2018, pp. 119-124. doi: 10.1109/DISA.2018.8490535

UAV management system for the smart city

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Author: Šuľaj, Peter1; Haluška, Renát1; Ovseník, Ľuboš1;
Organizations: 1Dept. of Electronics and Multimedia Communications, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Slovak Republic
2Dept. of Information Processing Science, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.6 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2018
Publish Date: 2019-09-06


In this paper a collection of technical solutions and results of simulation, supporting the concept of management a small group of unmanned aerial vehicles such as drones, are presented. The focus is given on collision avoiding and communications. The anti-collision system utilises the drone camera and is built on the Robot Operating System using the Histogram of Oriented Gradients and the Support Vector Machine. The proposed inter-drone communication employs ZigBee for system management and telecommunication networks for data exchange and teleoperations.

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ISBN: 978-1-5386-5102-5
ISBN Print: 978-1-5386-5103-2
Pages: 119 - 124
DOI: 10.1109/DISA.2018.8490535
Host publication: Proceedings DISA2018 IEEE World Symposium on Digital Intelligence for Systems and Machines
Conference: IEEE World Symposium on Digital Intelligence for Systems and Machines
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Funding: This work was supported by Cultural and Educational Grant Agency (KEGA) of the Ministry of Education, Science, Research and Sport of the Slovak Republic under the project No. 062TUKE-4/2017 and the project No. 023TUKE-4/2017.
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