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Progress in Artificial Intelligence
Published in: Progress in Artificial Intelligence 1/2016

01-02-2016 | Regular Paper

Automatic profile generation for UAV operators using a simulation-based training environment

Authors: Víctor Rodríguez-Fernández, Héctor D. Menéndez, David Camacho

Published in: Progress in Artificial Intelligence | Issue 1/2016

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Abstract

Unmanned aerial vehicles (UAVs) are becoming a hot topic in the last few years for several research areas, such as aeronautics or computer science. Big companies such as Airbus or Amazon aim to incorporate this technology to their current systems to improve the quality of their services while reducing the human costs. However, current UAV technology requires a strong human supervisory control and this supposes an important potential risk. Therefore, it is critical to keep track of the pilot behavior to be able to determine whether he is ready or not to operate with this technology. To deal with this problem, we have developed a methodology based on different performance metrics to automatically evaluate planning and monitoring skills of new users trained in a multi-UAV simulation environment. This methodology, based on unsupervised learning and fuzzy logic, can automatically generate a profile of future operators and use it to assess their skills.
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Metadata
Title
Automatic profile generation for UAV operators using a simulation-based training environment
Authors
Víctor Rodríguez-Fernández
Héctor D. Menéndez
David Camacho
Publication date
01-02-2016
Publisher
Springer Berlin Heidelberg
Published in
Progress in Artificial Intelligence / Issue 1/2016
Print ISSN: 2192-6352
Electronic ISSN: 2192-6360
DOI
https://doi.org/10.1007/s13748-015-0072-y

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