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A generic unifying ontology for civil unmanned aerial vehicle missions

Ferraro, Mario, Scanlan, James, Fangohr, Hans and Schumann, Benjamin (2012) A generic unifying ontology for civil unmanned aerial vehicle missions At 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 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, 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

Catalogue record

Date deposited: 23 Oct 2012 10:56
Last modified: 18 Jul 2017 05:16

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Contributors

Author: Mario Ferraro
Author: James Scanlan
Author: Hans Fangohr
Author: Benjamin Schumann

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