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Drones is an international, peer-reviewed, open access journal published monthly online by MDPI. The journal focuses on the design and applications of drones, including unmanned aerial vehicles (UAVs), Unmanned Aircraft Systems (UASs), and Remotely Piloted Aircraft Systems (RPASs), etc. Likewise, contributions based on unmanned ...
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Special Issues. Drones publishes Special Issues to create...
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Drones (ISSN 2504-446X) is an international, peer-reviewed,...
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All articles published in Drones (ISSN 2504-446X) are...
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Unfortunately, cases of plagiarism, data falsification,...
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Feature papers represent the most advanced research with...
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2017: The inaugural issue was released. Drones was published...
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Feature papers represent the most advanced research with...
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17 Ιουν 2021 · In this work, a taxonomy of drone navigation autonomy is established by mapping the definitions of vehicular autonomy levels, as defined by the Society of Automotive Engineers, to specific...
17 Ιουν 2021 · Our overview covers peer-reviewed publications, acquired using conditional searches of relevant keywords including “drones”, “autonomous navigation”, “artificial intelligence” and “deep learning” or other similar keywords in databases of quality research such as Google Scholar, IEEE Xplore and ArXiv.
3 Ιουλ 2024 · The synergy between drones and AI has led to notable progress in the autonomy of drones, which have become capable of completing complex missions without direct human supervision. This study of the state of the art examines the impact of AI on improving drone autonomous behavior, covering from automation to complex real-time decision making.
Drone data analytics is software that enables one to view and analyze aerial data collected by drones. In this chapter, we explained the basic working principles of drone technology and essential principles of data analytics that are useful for analyzing the data.
Discusses state-of-the-art drone data analytics in aerial computing with the use of illustrations. Covers the latest developments in drone data analytics in agriculture. Presents a comparison of the data management and security mechanisms in drone data analytics.
This paper proposes a typology of drone applications in manufacturing, explains. opportunities and challenges involved, and develops a research agenda. The typology categorizes four types. of applications based on the drones’ capabilities to “see,” “sense,” “move,” and “transform.”.