Early Assessment of Drone Fleet Defence in Depth Capabilities for Mission Success
Loading...
Authors
Papakonstantinou, N.
Bashir, A.Z.
O’Halloran, B.
Van Bossuyt, D.L.
Subjects
Defence in Depth
Drone fleets
Model driven engineering
Mine Counter Measures
Drone fleets
Model driven engineering
Mine Counter Measures
Advisors
Date of Issue
2019
Date
2019
Publisher
IEEE
Language
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.
Type
Conference Paper
Description
2019 Annual Reliability and Maintainability Symposium (RAMS)
The article of record as published may be found at https://10.1109/RAMS.2019.8769017
The article of record as published may be found at https://10.1109/RAMS.2019.8769017
Series/Report No
Faculty & Researcher Publications
Department
Systems Engineering (SE)
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funding
Format
7 p.
Citation
Papakonstantinou, Nikolaos, et al. "Early Assessment of Drone Fleet Defence in Depth Capabilities for Mission Success." 2019 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2019.
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.