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Heathrow Trials AI System for Landing Planes in Bad Weather

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A foggy day at London's Heathrow Airport.

The U.K. National Air Traffic Services is testing an artificial intelligence system to help guide planes in bad visibility at London's Heathrow Airport.

Credit: Steve Parsons/PA Wire

The U.K.'s National Air Traffic Services (NATS) has launched a test of an artificial intelligence system, along with 20 ultra-high-definition 4K cameras, to help guide planes in bad visibility at London's Heathrow Airport.

The technology, developed by Canadian vendor Searidge Technologies, relies on a machine learning system called Aimee, and is being tested at Heathrow Airport as well as Singapore's Changi Airport.

Once trained, Aimee should be able to track aircraft from the time they land until they are clear of the runway, even when the camera's images are difficult to interpret by the human eye.

The system will alert the air traffic controller, who will make the final decision on whether to clear the next arriving flight for landing.

The trial run will examine the behavior of 50,000 arriving aircraft over the next 12 months to see how the system responds to real-world situations.

From Computing (U.K.)
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Abstracts Copyright © 2019 SmithBucklin, Washington, DC, USA


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