Setting up a mixed reality simulator for using teams of autonomous uavs in air pollution monitoring
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Setting up a mixed reality simulator for using teams of autonomous uavs in air pollution monitoringDate
2016-08-31Citation
López Peña, F., Caamaño, P., Varela, G., Orjales, F., Deibe, A. (2016). Setting up a mixed reality simulator for using teams of autonomous uavs in air pollution monitoring. International Journal of Sustainable Development and Planning, Vol. 11, No. 4, pp. 616-626. https://doi.org/10.2495/SDP-V11-N4-616-626
Abstract
[Abstract]: A framework based on a mixed reality simulator for coordinating teams of autonomous Unmanned Aerial Vehicles (UAVs) is been developed. This framework would serve as a tool to facilitate crossing the reality gap for different applications; particularly when using these UAVs teams for air pollution monitoring and measurement. The system is built on a co-evolutionary simulator that makes use of data transmitted from some real UAVs to integrate them within a team of simulated UAVs. The system allows the progressive increase of the number of real UAV in the team. This facilitates the setting-up of a single UAV control system and also of the UAV collaboration schemes for different scenarios. A specific implementation of this system focussed on mapping the pollutant dispersion of a plume in the atmosphere is presented. Implementing an appropriate pollution dispersion model within the simulator is a key aspect of the system. This model should require few computational resources, should be easy to adapt in real time to ambient changes, and it should have a fair accuracy.
Keywords
Mixed reality
Plume dispersion
Unmanned aerial vehicles
Plume dispersion
Unmanned aerial vehicles
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© 2016 Fernando López Peña, Pilar Caamaño, Gervasio Varela, Félix Orjales, & Alvaro Deibe. May be used for research, academic, policy or other non-commercial purposes but with a citation to this source.
ISSN
1743-761X