UAV Detection, Classification, and Tracking

Dear Colleagues,

At present, UAVs (a.k.a. drones) are widely available in a wide range of sizes and capabilities, introducing unprecedented opportunities but also threats in terms of safety, privacy, and security. While the introduction of artificial intelligence and deep learning in conjunction with hardware innovations have significantly improved the capabilities to detect and classify drones, counter-UAV systems are facing challenges to detect threats from diverse UAV types and makes, in diverse and ever-changing environments.

This Special Issue aims to highlight advances in the field of UAV detection, classification, and tracking using a variety of single and multi-sensor techniques. Topics include, but are not limited to:

• Visual UAV detection and classification;
• IR UAV detection and classification;
• Radar UAV detection and classification;
• RF UAV detection and classification;
• Data fusion for UAV detection and classification;
• UAV tracking.

This special issue is focused more on drones. Papers focus on sensors may choose our joint Special Issue in Sensors (ISSN 1424-8220).

Dr. Anastasios Dimou
Dr. Arne Schumann
Dr. Lars Sommer
Dr. Dimitrios Zarpalas
Dr. Alessio Fascista
Prof. Dr. Angelo Coluccia
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Drones is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• UAV detection
• UAV classification
• UAV tracking
• optical sensors
• IR sensors
• RF sensors
• radars
• deep learning