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Drones is a peer-reviewed journal published by MDPI, covering UAV Applications and Optimization, Robotic Path Planning Algorithms, Robotics and Sensor-Based Localization. Over its lifetime it has published 3,742 papers, which have received 52,720 citations.
| Publisher | MDPI |
|---|---|
| Reference style | Numbered (MDPI) Numbered — [1], [2] in the text 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Drones 2023, 12, 45–58.
Formats any DOI in Drones style. No sign-up. |
| Publishes research in | UAV Applications and Optimization Robotic Path Planning Algorithms Robotics and Sensor-Based Localization Remote Sensing and LiDAR Applications Distributed Control Multi-Agent Systems |
| ISSN | 2504-446X |
| Citation impact (2-yr) | 5.6 |
| h-index | 86 |
| i10-index | 1,359 |
| Article processing charge | $2,165 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | National University of Defense Technology |
| Journal website | www.mdpi.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Recently, unmanned aerial vehicles (UAVs), also known as drones, have come in a great diversity of several applications such as military, construction, image and video mapping, medical, search and rescue, parcel delivery, hidden area exploration, oil rigs and power line monitoring, precision farming, wireless communication and aerial surveillance. The drone industry has been getting significant…
Coverage path planning consists of finding the route which covers every point of a certain area of interest. In recent times, Unmanned Aerial Vehicles (UAVs) have been employed in several application domains involving terrain coverage, such as surveillance, smart farming, photogrammetry, disaster management, civil security, and wildfire tracking, among others. This paper aims to explore…
UAV multitarget detection plays a pivotal role in civil and military fields. Although deep learning methods provide a more effective solution to this task, changes in target size, shape change, occlusion, and lighting conditions from the perspective of drones still bring great challenges to research in this field. Based on the above problems, this paper…
Unmanned aerial vehicles (UAVs) are becoming a valuable tool to collect data in a variety of contexts. Their use in agriculture is particularly suitable, as those areas are often vast, making ground scouting difficult, and sparsely populated, which means that injury and privacy risks are not as important as in urban settings. Indeed, the use…
In recent years, UAV remote sensing has gradually attracted the attention of scientific researchers and industry, due to its broad application prospects. It has been widely used in agriculture, forestry, mining, and other industries. UAVs can be flexibly equipped with various sensors, such as optical, infrared, and LIDAR, and become an essential remote sensing observation…
