Swarm intelligence based approach for real time UAV team coordination in search operations

This paper proposes swarm intelligence based approach for the real time coordination of groups of UAVs (Unmanned Aerial Vehicles) in tasks where values that are sensed from the aerial platform can be used to qualify the individuals. In particular, as an example application, here we consider environm...

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Bibliographic Details
Main Authors: Varela, G., Caamamo, P., Orjales, F., Deibe, A., Lopez-Pena, F., Duro, R. J.
Format: Conference Proceeding
Language:English
Subjects:
Airplanes
Atmospheric modeling
Evolution
Monitoring
Pollution
Real time systems
Robot Coordination
Sensors
Three dimensional displays
Unmanned Aerial Vehicles
Citations: Items that cite this one
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Summary:This paper proposes swarm intelligence based approach for the real time coordination of groups of UAVs (Unmanned Aerial Vehicles) in tasks where values that are sensed from the aerial platform can be used to qualify the individuals. In particular, as an example application, here we consider environmental monitoring UAV teams. Their function is to monitor an area and when some undesired environmental condition arises, coordinate themselves to find the source as fast as possible. The swarm based algorithm has been extensively tested using a 3D simulation platform and validated with real UAVs flying over an industrial area.
DOI:10.1109/NaBIC.2011.6089619