Early assessment of drone fleet defence in depth capabilities for mission success

Nikolaos Papakonstantinou; Ahmed Z. Bashir; Bryan O'Halloran; Douglas L.Van Bossuyt

doi:10.1109/RAMS.2019.8769017

Early assessment of drone fleet defence in depth capabilities for mission success

Nikolaos Papakonstantinou, Ahmed Z. Bashir, Bryan O'Halloran, Douglas L.Van Bossuyt

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

5 Citations (Scopus)

Abstract

Advancements in the domain of artificial intelligence, safety management, and on-board fault tolerance have led to autonomous devices to be considered as a key element for future remote defence and peaceful missions. Drones-Also known as autonomous or unmanned vehicles-with different capabilities and features-can be organized in a fleet and the fleet can be organized in a way that will increase the survivability of the drones and improve mission success. This can be accomplished by balancing system effectiveness design parameters such as endurance, communications, sensor fusion, domain awareness, area coverage rates and human operator interaction against mission costs.

Original language	English
Title of host publication	RAMS 2019 - 2019 Annual Reliability and Maintainability Symposium, Proceedings
Publisher	IEEE Institute of Electrical and Electronic Engineers
Number of pages	7
ISBN (Electronic)	978-1-5386-6554-1
DOIs	https://doi.org/10.1109/RAMS.2019.8769017
Publication status	Published - 2019
MoE publication type	A4 Article in a conference publication
Event	2019 Annual Reliability and Maintainability Symposium, RAMS 2019 - Orlando, United States Duration: 28 Jan 2019 → 31 Jan 2019

Conference

Conference	2019 Annual Reliability and Maintainability Symposium, RAMS 2019
Country/Territory	United States
City	Orlando
Period	28/01/19 → 31/01/19

Keywords

Defence in Depth
Drone fleets
Mine Counter Measures
Model driven engineering

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10.1109/RAMS.2019.8769017

Cite this

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title = "Early assessment of drone fleet defence in depth capabilities for mission success",

abstract = "Advancements in the domain of artificial intelligence, safety management, and on-board fault tolerance have led to autonomous devices to be considered as a key element for future remote defence and peaceful missions. Drones-Also known as autonomous or unmanned vehicles-with different capabilities and features-can be organized in a fleet and the fleet can be organized in a way that will increase the survivability of the drones and improve mission success. This can be accomplished by balancing system effectiveness design parameters such as endurance, communications, sensor fusion, domain awareness, area coverage rates and human operator interaction against mission costs.",

keywords = "Defence in Depth, Drone fleets, Mine Counter Measures, Model driven engineering",

author = "Nikolaos Papakonstantinou and Bashir, {Ahmed Z.} and Bryan O'Halloran and Bossuyt, {Douglas L.Van}",

year = "2019",

doi = "10.1109/RAMS.2019.8769017",

language = "English",

booktitle = "RAMS 2019 - 2019 Annual Reliability and Maintainability Symposium, Proceedings",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "2019 Annual Reliability and Maintainability Symposium, RAMS 2019 ; Conference date: 28-01-2019 Through 31-01-2019",

}

Papakonstantinou, N, Bashir, AZ, O'Halloran, B & Bossuyt, DLV 2019, Early assessment of drone fleet defence in depth capabilities for mission success. in RAMS 2019 - 2019 Annual Reliability and Maintainability Symposium, Proceedings. IEEE Institute of Electrical and Electronic Engineers, 2019 Annual Reliability and Maintainability Symposium, RAMS 2019, Orlando, United States, 28/01/19. https://doi.org/10.1109/RAMS.2019.8769017

Early assessment of drone fleet defence in depth capabilities for mission success. / Papakonstantinou, Nikolaos; Bashir, Ahmed Z.; O'Halloran, Bryan et al.
RAMS 2019 - 2019 Annual Reliability and Maintainability Symposium, Proceedings. IEEE Institute of Electrical and Electronic Engineers, 2019.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AB - Advancements in the domain of artificial intelligence, safety management, and on-board fault tolerance have led to autonomous devices to be considered as a key element for future remote defence and peaceful missions. Drones-Also known as autonomous or unmanned vehicles-with different capabilities and features-can be organized in a fleet and the fleet can be organized in a way that will increase the survivability of the drones and improve mission success. This can be accomplished by balancing system effectiveness design parameters such as endurance, communications, sensor fusion, domain awareness, area coverage rates and human operator interaction against mission costs.

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KW - Mine Counter Measures

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BT - RAMS 2019 - 2019 Annual Reliability and Maintainability Symposium, Proceedings

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ER -

Early assessment of drone fleet defence in depth capabilities for mission success

Abstract

Conference

Keywords

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