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Saturday, March 21, 2020

Drone Detection and Usage Database

Also would seem to create a useful database for detailed matching to contexts and task usage.

Research Improves Drone Detection
Aalto University
March 18, 2020

Researchers at Aalto University in Finland, Universite Catholique de Louvain in Belgium, and New York University have compiled radar measurement data from different types of aerial drones, to enhance the detection and identification of unmanned aerial vehicles. The researchers measured the Radar Cross Section of commercially available and custom-built drones, which indicates how each reflects radio signals, as a way of identifying their size, shape, and structural materials. Aalto's Vasilii Semkin said the publicly available results are intended to form the basis of a uniform drone database. Said Semkin, “There is an urgent need to find better ways to monitor drone use. We aim to continue this work and extend the measurement campaign to other frequency bands, as well as for a larger variety of drones and different real-life environments.” .... '

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