Dr. Dimitrios Zarpalas and Dr. Anastasios Dimou are guest editors of the upcoming Sensors special issue titled “Deep Learning Based UAV Detection, Classification, and Tracking”
UAVs (a.k.a. drones) are 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 based on deep learning. 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
For more information regarding the topics of interest, the submission process and the relevant deadlines, visit the special issue webpage.
