The University of Southampton
University of Southampton Institutional Repository

A generic unifying ontology for civil unmanned aerial vehicle missions

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
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, 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.

PDF
template.pdf - Accepted Manuscript
Download (952kB)

More information

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: https://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

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×