An Autonomous UAV Architecture for Remote Sensing and Intelligent Decision-making

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URI: http://hdl.handle.net/10498/20952

DOI: 10.1109/MIC.2018.032501511

ISSN: 1089-7801

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Autor/es
Boubeta Puig, JuanAutoridad UCA; Moguel, Enrique; Sánchez-Figueroa, Fernando; Hernández, Juan; Preciado, Juan Carlos
Fecha
2018-06
Departamento/s
Ingeniería Informática
Fuente
Boubeta-Puig, J., Moguel, E., Sánchez-Figueroa, F., Hernández, J., & Preciado, J. C. (2018). An Autonomous UAV Architecture for Remote Sensing and Intelligent Decision-making. IEEE Internet Computing, 22(3), 6–15. https://doi.org/10.1109/MIC.2018.032501511
Resumen
Recently, the US Department of Transportation’s Federal Aviation Administration and other international organizations have proposed a set of requirements for small unmanned aerial vehicles (UAVs) to operate for nonrecreational purposes. However, existing UAV architectures fulfill only some of the established requirements, and not all in one solution. This article presents an event-driven service-oriented architecture that allows autonomous UAVs to satisfy all these requirements and to detect critical situations, performing real-time decision making.
Materias
Computer architecture; Decision making; FAA; Unmanned aerial vehicles; Real-time systems; Autonomous vehicles
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