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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Author/s
Boubeta Puig, JuanAuthority UCA; Moguel, Enrique; Sánchez-Figueroa, Fernando; Hernández, Juan; Preciado, Juan Carlos
Date
2018-06
Department
Ingeniería Informática
Source
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
Abstract
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.
Subjects
Computer architecture; Decision making; FAA; Unmanned aerial vehicles; Real-time systems; Autonomous vehicles
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