Air tracking and monitoring for unmanned aircraft traffic management

Campaña Ramos, Iván ORCID: https://orcid.org/0000-0002-4250-9652, Bergesio, Luca ORCID: https://orcid.org/0000-0002-7860-5590, Besada Portas, Juan Alberto ORCID: https://orcid.org/0000-0002-4330-4050 and Miguel Vela, Gonzalo C. de ORCID: https://orcid.org/0000-0003-3454-683X (2019). Air tracking and monitoring for unmanned aircraft traffic management. En: "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.

Descripción

Título: Air tracking and monitoring for unmanned aircraft traffic management
Autor/es:
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: Integrated Communications, Navigation and Surveillance Conference (ICNS) 2019
Fechas del Evento: 09/04/2019 - 11/04/2019
Lugar del Evento: Herndon, VA, USA
Título del Libro: Proceedings of Integrated Communications, Navigation and Surveillance Conference (ICNS) 2019
Fecha: 13 Junio 2019
ISBN: 978-1-7281-1893-2
Materias:
ODS:
Palabras Clave Informales: UTM; drone; fleet management; unmanned aircraft traffic management system; decision support tools
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

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Resumen

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.

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
Universidad Politécnica de Madrid
RP1509550C02
Sin especificar
Sin especificar
Tecnologías Avanzadas para la Monitorización y Gestión Remota del Tráfico Aéreo de Vehículos Pilotados y no Pilotados
Gobierno de España
TEC2017-88048-C2-1-R
Sin especificar
Sin especificar
Sin especificar

Más información

ID de Registro: 64701
Identificador DC: https://oa.upm.es/64701/
Identificador OAI: oai:oa.upm.es:64701
Identificador DOI: 10.1109/ICNSURV.2019.8735284
URL Oficial: https://ieeexplore.ieee.org/document/8735284
Depositado por: Memoria Investigacion
Depositado el: 27 Mar 2021 09:58
Ultima Modificación: 13 Abr 2023 17:27