As part of Airbus’s ongoing efforts to advance automation in commercial aviation, the aircraft manufacturer’s Acubed innovation unit in Silicon Valley has now collected data on more than 100 airports across the U.S. The massive data collection campaign, which began in California in 2019 and expanded to the eastern U.S. last year, will help to enable autonomous flight through artificial intelligence (AI) and machine learning, according to the Europe-based aerospace group.
Over four months, Acubed flew its so-called flight test lab aircraft—a Beechcraft Baron 58 modified with cameras and sensors—to more than 100 airports across the country in various weather and lighting conditions. At each airport, the experimental aircraft collected copious amounts of imagery that the Acubed team is using to train and test machine-learning algorithms.
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