Air tracking and monitoring for unmanned aircraft traffic management

Campaña Ramos, Iván and Bergesio, Luca and Besada Portas, Juan Alberto and Miguel Vela, Gonzalo de (2019). Air tracking and monitoring for unmanned aircraft traffic management. In: "Integrated Communications, Navigation and Surveillance Conference (ICNS) 2019", 09/04/2019 - 11/04/2019, Herndon, VA, USA. ISBN 978-1-7281-1893-2. pp. 1-9. https://doi.org/10.1109/ICNSURV.2019.8735284.

Description

Title: Air tracking and monitoring for unmanned aircraft traffic management
Author/s:
  • Campaña Ramos, Iván
  • Bergesio, Luca
  • Besada Portas, Juan Alberto
  • Miguel Vela, Gonzalo de
Item Type: Presentation at Congress or Conference (Article)
Event Title: Integrated Communications, Navigation and Surveillance Conference (ICNS) 2019
Event Dates: 09/04/2019 - 11/04/2019
Event Location: Herndon, VA, USA
Title of Book: Proceedings of Integrated Communications, Navigation and Surveillance Conference (ICNS) 2019
Date: 13 June 2019
ISBN: 978-1-7281-1893-2
Subjects:
Freetext Keywords: UTM; drone; fleet management; unmanned aircraft traffic management system; decision support tools
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The large increase in the sale of drones as well as their use in more and more aspects of daily life has led to the emergence of increasingly voices warning of the need to track and monitoring these drones. The prototype UTM monitoring system to be described in this paper is aimed to address this problem. It is implemented as a microservice to be inserted in a complete UTM SW ecosystem, processing telemetry and other sensors position/velocity information to be able to track, monitor and control the good operation and thus avoid the possible conflicts or accidents that can cause due to a bad use or malfunction of them. This prototype may also allow the analysis of the performance without putting at risk neither people nor material goods since all drone data may be simulated. Also, it has been tested using real data from industrial multirotors.

Funding Projects

TypeCodeAcronymLeaderTitle
Universidad Politécnica de MadridRP1509550C02UnspecifiedUnspecifiedTecnologías Avanzadas para la Monitorización y Gestión Remota del Tráfico Aéreo de Vehículos Pilotados y no Pilotados
Government of SpainTEC2017-88048-C2-1-RUnspecifiedUnspecifiedUnspecified

More information

Item ID: 64701
DC Identifier: http://oa.upm.es/64701/
OAI Identifier: oai:oa.upm.es:64701
DOI: 10.1109/ICNSURV.2019.8735284
Official URL: https://ieeexplore.ieee.org/document/8735284
Deposited by: Memoria Investigacion
Deposited on: 27 Mar 2021 09:58
Last Modified: 27 Mar 2021 09:58
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