5 October 2017 Multimodal UAV detection: study of various intrusion scenarios
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Abstract
Small unmanned aerial vehicles (UAVs) are becoming increasingly popular and affordable the last years for professional and private consumer market, with varied capacities and performances. Recent events showed that illicit or hostile uses constitute an emergent, quickly evolutionary threat. Recent developments in UAV technologies tend to bring autonomous, highly agile and capable unmanned aerial vehicles to the market. These UAVs can be used for spying operations as well as for transporting illicit or hazardous material (smuggling, flying improvised explosive devices).

The scenario of interest concerns the protection of sensitive zones against the potential threat constituted by small drones. In the recent past, field trials were carried out to investigate the detection and tracking of multiple UAV flying at low altitude. Here, we present results which were achieved using a heterogeneous sensor network consisting of acoustic antennas, small FMCW RADAR systems and optical sensors. While acoustics and RADAR was applied to monitor a wide azimuthal area (360°), optical sensors were used for sequentially identification.

The localization results have been compared to the ground truth data to estimate the efficiency of each detection system. Seven-microphone acoustic arrays allow single source localization. The mean azimuth and elevation estimation error has been measured equal to 1.5 and -2.5 degrees respectively. The FMCW radar allows tracking of multiple UAVs by estimating their range, azimuth and motion speed. Both technologies can be linked to the electro-optical system for final identification of the detected object.
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Sebastien Hengy, Martin Laurenzis, Stéphane Schertzer, Alexander Hommes, Franck Kloeppel, Alex Shoykhetbrod, Thomas Geibig, Winfried Johannes, Oussama Rassy, Frank Christnacher, "Multimodal UAV detection: study of various intrusion scenarios", Proc. SPIE 10434, Electro-Optical Remote Sensing XI, 104340P (5 October 2017); doi: 10.1117/12.2278212; https://doi.org/10.1117/12.2278212
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