Abstract
Currently, drones are one of the most complex control systems. This control covers from the control of the stability of the drone, to the automatic control of the navigation in complex environments. In the case of indoor drones, technological challenges are specific. This paper presents an intelligent control architecture for indoor drones where security is the main axis of the system design. So, a definition of different navigation modes based on security is proposed. The drone must have different navigation modes: manual, reactive, deliberative and intelligent. For indoor navigation it is necessary to know the position of the drone, therefore the system must have a location mode similar to GPS, but that provides better accuracy. For deliberative and intelligent modes, the system must have a map of the environment, as well as a control system that sends the navigation orders to the drone.
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Acknowledgements
This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 732433 (reference: H2020-ICT-2016-2017, www.airt.eu).
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Tipantuña-Topanta, GJ., Abad, F., Mollá, R., Poza-Lujan, JL., Posadas-Yagüe, JL. (2019). Intelligent Flight in Indoor Drones. In: De La Prieta, F., Omatu, S., Fernández-Caballero, A. (eds) Distributed Computing and Artificial Intelligence, 15th International Conference. DCAI 2018. Advances in Intelligent Systems and Computing, vol 800. Springer, Cham. https://doi.org/10.1007/978-3-319-94649-8_30
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DOI: https://doi.org/10.1007/978-3-319-94649-8_30
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