A generic unifying ontology for civil unmanned aerial vehicle missions
A generic unifying ontology for civil unmanned aerial vehicle missions
The aerospace industry struggles to account appropriately for the operational environment of a product during the early design phase. This can lead to suboptimal designs that can compromise the commercial success of a product. An agent-based operational simulation is shown to reduce the knowledge gap and increase understanding of aerospace products interacting with their operational environments early on. The simulation aims to be a generic tool to model any mission scenario for Unmanned Aerial Vehicles. This paper suggests a unifying ontology aiming to find a small set of parameters that map to almost any conceivable mission. This is achieved by combining Geographical Information Systems (GIS) maps with an agent-based framework. Database structure and integration into the operational simulation is demonstrated by introducing a generic mission case study.
978-1-60086-930-3
Ferraro, Mario
5ad09122-6fed-4da2-8120-e3d41524d4ad
Scanlan, James
7ad738f2-d732-423f-a322-31fa4695529d
Fangohr, Hans
9b7cfab9-d5dc-45dc-947c-2eba5c81a160
Schumann, Benjamin
04102357-2f80-4a4f-b2d3-ad34c3b51a05
19 September 2012
Ferraro, Mario
5ad09122-6fed-4da2-8120-e3d41524d4ad
Scanlan, James
7ad738f2-d732-423f-a322-31fa4695529d
Fangohr, Hans
9b7cfab9-d5dc-45dc-947c-2eba5c81a160
Schumann, Benjamin
04102357-2f80-4a4f-b2d3-ad34c3b51a05
Ferraro, Mario, Scanlan, James, Fangohr, Hans and Schumann, Benjamin
(2012)
A generic unifying ontology for civil unmanned aerial vehicle missions.
12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Indianapolis, United States.
17 - 19 Sep 2012.
(doi:10.2514/6.2012-5504).
Record type:
Conference or Workshop Item
(Paper)
Abstract
The aerospace industry struggles to account appropriately for the operational environment of a product during the early design phase. This can lead to suboptimal designs that can compromise the commercial success of a product. An agent-based operational simulation is shown to reduce the knowledge gap and increase understanding of aerospace products interacting with their operational environments early on. The simulation aims to be a generic tool to model any mission scenario for Unmanned Aerial Vehicles. This paper suggests a unifying ontology aiming to find a small set of parameters that map to almost any conceivable mission. This is achieved by combining Geographical Information Systems (GIS) maps with an agent-based framework. Database structure and integration into the operational simulation is demonstrated by introducing a generic mission case study.
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Published date: 19 September 2012
Venue - Dates:
12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Indianapolis, United States, 2012-09-17 - 2012-09-19
Organisations:
Electronics & Computer Science, Computational Engineering & Design Group
Identifiers
Local EPrints ID: 344364
URI: http://eprints.soton.ac.uk/id/eprint/344364
ISBN: 978-1-60086-930-3
PURE UUID: d7056183-67d2-480e-8cc4-5b6e38338679
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Date deposited: 23 Oct 2012 10:56
Last modified: 15 Mar 2024 03:03
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Contributors
Author:
Mario Ferraro
Author:
Benjamin Schumann
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