SUAAVE: Sensing Unmanned Autonomous Aerial VEhicles

Lead Research Organisation: University of Oxford
Department Name: Computer Science

Abstract

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Publications

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Luke Teacy (Author) (2009) Collaborative Sensing by Unmanned Aerial Vehicles

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Patterson T (2014) Timely autonomous identification of UAV safe landing zones in Image and Vision Computing

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Stephen Cameron (Author) (2010) SUAAVE: Combining Aerial Robots and Wireless Networking

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Symington A (2012) Encounter based sensor tracking

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Symington A (2010) Probabilistic target detection by camera-equipped UAVs

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Waharte S (2009) Coordinated Search with a Swarm of UAVs

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Waharte S (2010) Supporting Search and Rescue Operations with UAVs

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Waharte S (2010) Probabilistic search with agile UAVs

 
Description The project has led to the discovery of novel target tracking and search and rescue algorithms using a swarm of UAVs. One of the novel aspects is that multi-robot exploration has been investigated in the presence of connectivity constraints between UAVs.
Exploitation Route Some of the proposed algorithms may be of great relevance to search and rescue services and defence applications.
Sectors Aerospace, Defence and Marine,Digital/Communication/Information Technologies (including Software)
URL https://www.cs.ox.ac.uk/projects/SUAAVE/
 
Description EPSRC
Amount £9,159 (GBP)
Funding ID Pathways to Impact (Inst. Spons. Deliv. Plan Block Gran 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 08/2012 
End 11/2012