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Collaborative Sensing by Unmanned Aerial Vehicles

Collaborative Sensing by Unmanned Aerial Vehicles
Collaborative Sensing by Unmanned Aerial Vehicles
In many military and civilian applications, Unmanned Aerial Vehicles (UAVs) provide an indispensable platform for gathering information about the situation on the ground. In particular, they have the potential to revolutionize the way in which information is collected, fused and disseminated. These advantages are greatly enhanced if swarms of multiple UAVs are used, since this enables the collection of data from multiple vantage points using multiple sensors. However, enhancements to overall operational performance can be realised only if the platforms have a high degree of autonomy, which is achieved through machine intelligence. With this in mind, we report on our recently launched project, SUAAVE (Sensing, Unmanned, Autonomous, Aerial VEhicles), which seeks to develop and evaluate a fully automated sensing platform consisting of multiple UAVs. To achieve this goal, we will take a multiply disciplinary approach, focusing on the complex dependencies that exist between tasks such as data fusion, ad-hoc wireless networking, and multi-agent co-ordination. In this position paper, we highlight the related work in this area and outline our agenda for future work.
UAV, UAV swarms, sensor networks, decentralized control
13-16
Teacy, W. T. L.
5f962a10-9ab5-4b19-8016-cc72588bdc6a
Nie, J.
0670d81f-a71d-4c22-afc8-9c434f5a311d
McClean, S.
bbe010c3-4624-4e74-86d9-5153116478bb
Parr, G.
9f789a08-a087-4921-835e-b730e748e77a
Hailes, S.
83d9065c-0aef-4d68-a2fa-2cef8ed70683
Julier, S.
00f6cf7a-3065-4e02-a57b-803cf3814199
Trigoni, N.
f39900f6-29a6-4d0d-8667-1e2c0c3055f7
Cameron, S.
9088511e-751a-40ab-95e6-6548c3deae62
Teacy, W. T. L.
5f962a10-9ab5-4b19-8016-cc72588bdc6a
Nie, J.
0670d81f-a71d-4c22-afc8-9c434f5a311d
McClean, S.
bbe010c3-4624-4e74-86d9-5153116478bb
Parr, G.
9f789a08-a087-4921-835e-b730e748e77a
Hailes, S.
83d9065c-0aef-4d68-a2fa-2cef8ed70683
Julier, S.
00f6cf7a-3065-4e02-a57b-803cf3814199
Trigoni, N.
f39900f6-29a6-4d0d-8667-1e2c0c3055f7
Cameron, S.
9088511e-751a-40ab-95e6-6548c3deae62

Teacy, W. T. L., Nie, J., McClean, S., Parr, G., Hailes, S., Julier, S., Trigoni, N. and Cameron, S. (2009) Collaborative Sensing by Unmanned Aerial Vehicles. the 3rd International Workshop on Agent Technology for Sensor Networks, Hungary. pp. 13-16 .

Record type: Conference or Workshop Item (Paper)

Abstract

In many military and civilian applications, Unmanned Aerial Vehicles (UAVs) provide an indispensable platform for gathering information about the situation on the ground. In particular, they have the potential to revolutionize the way in which information is collected, fused and disseminated. These advantages are greatly enhanced if swarms of multiple UAVs are used, since this enables the collection of data from multiple vantage points using multiple sensors. However, enhancements to overall operational performance can be realised only if the platforms have a high degree of autonomy, which is achieved through machine intelligence. With this in mind, we report on our recently launched project, SUAAVE (Sensing, Unmanned, Autonomous, Aerial VEhicles), which seeks to develop and evaluate a fully automated sensing platform consisting of multiple UAVs. To achieve this goal, we will take a multiply disciplinary approach, focusing on the complex dependencies that exist between tasks such as data fusion, ad-hoc wireless networking, and multi-agent co-ordination. In this position paper, we highlight the related work in this area and outline our agenda for future work.

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suaave.pdf - Accepted Manuscript
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More information

Published date: May 2009
Additional Information: Event Dates: May, 2009
Venue - Dates: the 3rd International Workshop on Agent Technology for Sensor Networks, Hungary, 2009-05-01
Keywords: UAV, UAV swarms, sensor networks, decentralized control
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 267290
URI: https://eprints.soton.ac.uk/id/eprint/267290
PURE UUID: 8f9959e9-571c-4650-a223-b7f72fbd4935

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Date deposited: 23 Apr 2009 09:41
Last modified: 18 Jul 2017 07:06

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