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. In, 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Indianapolis, US, 17 - 19 Sep 2012. (doi:10.2514/6.2012-5504).

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Description/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.

Item Type: Conference or Workshop Item (Paper)
ISBNs: 9781600869303 (electronic)
Related URLs:
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: Faculty of Engineering and the Environment > Aeronautics, Astronautics and Computational Engineering > Computational Engineering & Design
Faculty of Physical Sciences and Engineering > Electronics and Computer Science
ePrint ID: 344364
Date Deposited: 23 Oct 2012 10:56
Last Modified: 27 Mar 2014 20:26
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/344364

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