Intelligent Sensors for Acoustic Localization Based Unmanned Aerial Vehicle

Dear Colleagues,

UAVs (unmanned aerial vehicle) can be used in many fields such as the acquisition of images or the transport of objects. UAVs have also been used for terrorist activities or to disturb the flight of airplanes. Due to the small size and the presence of only rotating parts, UAV escape traditional controls and therefore represent a danger. With the acronym UAV, we refer to aircraft without a pilot on board (unmanned aerial vehicle). This category of aircraft determines a drastic reduction in operating costs compared to conventional piloted aircraft. The flight is controlled remotely. Originally, drones were used for war purposes with the aim of creating unmanned aircraft to avoid human losses in the event of anti-aircraft defense killing the aircraft. Technological progress and research in this field have allowed the creation of vehicles capable of realizing the most disparate applications. These results have aroused interest in this technology from the civil sector, which today uses UAVs in various fields. Unlike the military sector that uses real planes equipped with destructive weapons, multi-helicopter solutions are widely used in the civil sector. Small UAVs can be used in many sectors such as the acquisition of images, the transport of objects, and being equipped with small speakers they can be used to communicate warnings during emergency phases. Although on some rare occasions drones have also been used for terrorist activities (Venezuela 2018 and Saudi Arabia 2019), to disturb the flight of airplanes near airports (London 2019), and for the transport of drugs or the delivery of unwanted objects in prisons; therefore, with UAVs it is possible to perform a series of illegal activities. Even though all the nations of the world have very specific laws prohibiting the overflight of UAVs by creating no fly zones, we are witnessing a worrying increase in reported cases. The aim of this Special Issue is to contribute to the state of the art, and to introduce current developments concerning the study for UAV identification and location with techniques based on the acquisition of the emitted noise. Experiences in these fields can be reported in this Special Issue.

Therefore, prospective authors are invited to submit original contributions for review for publication in the Sensors open access journal. Topics of interest include (but are not limited to) the following:

• UAV navigation and localization systems
• Sound Localization of UAV
• Human factors and human UAV interaction
• UAV Sound Level Prediction
• UAV Active Noise Cancellation
• Noise reduction
• Real-Time System for Acoustic Detection and Localization of UAV
• UAV Artificial Neural Network
• UAV Fault Diagnosis
• Noise pollution generated by UAV
• Numerical modeling of the UAV sound generation and propagation
• UAV traffic management system

Dr. Amelia Trematerra
Prof. Gino Iannace
Guest Editors

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• UAV
• frequency
• measurements
• intelligent sensors, noise, pollution