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Airbus successfully tested its first fully automatic vision-based take-off © Airbus

| Alexandre Rocchi

Airbus successfully tested its first fully automatic vision-based take-off

Airbus has successfully performed 8 take-offs with an Airbus A350-1000 test aircraft using a fully automatic vision-based system.

On 18 December, Airbus conducted a series of test at Toulouse-Blagnac airport. Aboard a A350-1000 aircraft, the test crew comprising of two pilots, two flight test engineers and a test flight engineer took off at around 10:15 am and performed a total of 8 fully automatic vision-based take-offs over a period of four and a half hours. “The aircraft performed as expected during these milestone tests. While completing alignment on the runway, waiting for clearance from air traffic control, we engaged the auto-pilot,” tells Airbus Test Pilot Captain Yann Beaufils. “We moved the throttle levers to the take-off setting and we monitored the aircraft.  It started to move and accelerate automatically maintaining the runway centre line, at the exact rotation speed as entered in the system. The nose of the aircraft began to lift up automatically to take the expected take-off pitch value and a few seconds later we were airborne.”

Rather than relying on an Instrument Landing System (ILS), this automatic take-off was enabled by image recognition technology installed directly on the aircraft. Automatic take-off is an important milestone in Airbus’ Autonomous Taxi, Take-Off & Landing (ATTOL) project. Launched in June 2018, ATTOL is one of the technological flight demonstrators being tested by Airbus in order to understand the impact of autonomy on aircraft. The next steps in the project will see automatic vision-based taxi and landing sequences taking place by mid-2020.

Airbus specifies its “mission is not to move ahead with autonomy as a target in itself, but instead to explore autonomous technologies alongside other innovations in areas such as materials, electrification and connectivity”. By doing so, Airbus would be able to analyse the potential of these technologies in addressing the key industrial challenges of tomorrow, including improving air traffic management, addressing pilot shortages and enhancing future operations. For autonomous technologies to improve flight operations and overall aircraft performance, Airbus states “pilots will remain at the heart of operations. Autonomous technologies are paramount to supporting pilots, enabling them to focus less on aircraft operation and more on strategic decision-making and mission management.”

Airbus Airbus ATTOL

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