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 proceedingConference article in proceedingsScientificpeer-review

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 languageEnglish
Title of host publicationRAMS 2019 - 2019 Annual Reliability and Maintainability Symposium, Proceedings
PublisherIEEE Institute of Electrical and Electronic Engineers
Number of pages7
ISBN (Electronic)978-1-5386-6554-1
DOIs
Publication statusPublished - 2019
MoE publication typeA4 Article in a conference publication
Event2019 Annual Reliability and Maintainability Symposium, RAMS 2019 - Orlando, United States
Duration: 28 Jan 201931 Jan 2019

Conference

Conference2019 Annual Reliability and Maintainability Symposium, RAMS 2019
CountryUnited States
CityOrlando
Period28/01/1931/01/19

Fingerprint

Unmanned Vehicles
Unmanned vehicles
Sensor Fusion
Survivability
Autonomous Vehicles
Fault tolerance
Parameter Design
Fault Tolerance
Balancing
Artificial intelligence
Artificial Intelligence
Durability
Coverage
Fusion reactions
Safety
Communication
Sensors
Costs
Operator
Interaction

Keywords

  • Defence in Depth
  • Drone fleets
  • Mine Counter Measures
  • Model driven engineering

Cite this

Papakonstantinou, N., Bashir, A. Z., O'Halloran, B., & Bossuyt, D. L. V. (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 . https://doi.org/10.1109/RAMS.2019.8769017
Papakonstantinou, Nikolaos ; Bashir, Ahmed Z. ; O'Halloran, Bryan ; Bossuyt, Douglas L.Van. / Early assessment of drone fleet defence in depth capabilities for mission success. RAMS 2019 - 2019 Annual Reliability and Maintainability Symposium, Proceedings. IEEE Institute of Electrical and Electronic Engineers , 2019.
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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; Bossuyt, Douglas L.Van.

RAMS 2019 - 2019 Annual Reliability and Maintainability Symposium, Proceedings. IEEE Institute of Electrical and Electronic Engineers , 2019.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Papakonstantinou N, Bashir AZ, O'Halloran B, Bossuyt DLV. 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 https://doi.org/10.1109/RAMS.2019.8769017