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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 ...
- Special Issues
Special Issues. Drones publishes Special Issues to create...
- About
Drones (ISSN 2504-446X) is an international, peer-reviewed,...
- APC
All articles published in Drones (ISSN 2504-446X) are...
- Instructions for Authors
Unfortunately, cases of plagiarism, data falsification,...
- Editorial Board
Editorial Board - Drones | An Open Access Journal from MDPI
- Conferences
We are delighted to announce the International Conference on...
- Journal History
2017: The inaugural issue was released. Drones was published...
- Most Cited & Viewed
Most Cited & Viewed - Drones | An Open Access Journal from...
- Special Issues
3 Σεπ 2024 · The standard ISO4 abbreviation for the Drones is Drones. Is the "Drones" classified as a Journal, Conference and Proceedings, Trade Journal or Book Series? Drones is classified as a journal that the Multidisciplinary Digital Publishing Institute (MDPI) publishes.
The journal focuses on design and applications of drones, including unmanned aerial vehicle (UAV), Unmanned Aircraft Systems (UAS), and Remotely Piloted Aircraft Systems (RPAS), etc. Likewise, contributions based on unmanned water/underwater drones and unmanned ground vehicles are also welcomed.
20 Δεκ 2023 · Drones is a monthly peer-reviewed, open-access journal published by MDPI, 2 with a global reach. The journal is dedicated to exploring the design and diverse applications of drones, encompassing UAVs, Remotely Piloted Aircraft Systems (RPAS)UAS, Unmanned Aircraft Systems (UAS), and similar technologies.
3 Ιουλ 2024 · To do this, telemetry systems and sensors can be used on drones, which send information in real time to a control center and guarantee stability in connectivity . This allows quick and effective decisions to be made to ensure delivery success.
This step change will play a pivotal role in both drone technologies and the field of aerial robotics. Within this context, we thus invite researchers to submit papers to this Special Issue that focus on the current advances in the area of deep learning for field aerial robots.
The journal focuses on design and applications of drones, including unmanned aerial vehicle (UAV), Unmanned Aircraft Systems (UAS), and Remotely Piloted Aircraft Systems (RPAS), etc. Likewise, contributions based on unmanned water/underwater drones and unmanned ground vehicles are also welcomed.