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Scientists have developed an AI tool that finds drone pilots flying dangerously near airports or protected airspace.
The system’s goal is to lessen the risks drones pose to plane. Not only can they collide with planes, but they might additionally intrude with radio alerts, inflicting a pilot to lose control of the plane.
These dangers have already brought on chaos at quite a lot of airports. One example is that, London’s Gatwick airport, which was compelled to close down in December 2018 after drones had been noticed close to the runway. The incident affected around 1,000 flights and 140,000 passengers.
The cops by no means discovered the culprits. The new AI system might have helped them in their search.
BGU’s system tries to beat these limitations by changing RF with AI.
The AI makes use of a neural network to investigate a drone‘s flight path from different points of view. The patterns it discovers helps it to determine the exact location of the pilot.
In assessments of the system on simulated drone paths, it predicted the operator’s location with 78% accuracy. The researchers now plan to test the AI on data captured from drones in reality.
With additional improvement, this technology can be used to get even further details, and hopefully serve the intended purpose more efficiently
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