FAA, Daedalean Study Machine-Learning In Avionics

Graham Warwick May 24, 2022
Daedalean
Daedalean’s visual landing system uses computer vision and machine-learning to locate runways in camera images.
Credit: Daedalean
Joint research by the FAA and Swiss AI startup Daedalean is expected to help shape certification requirements for the use of machine-learning in safety-critical avionics. The research included flight tests of a vision-based runway landing guidance system using neural networks. A report on the...
Graham Warwick

Graham leads Aviation Week's coverage of technology, focusing on engineering and technology across the aerospace industry, with a special focus on identifying technologies of strategic importance to aviation, aerospace and defense.

Subscription Required

 

FAA, Daedalean Study Machine-Learning In Avionics is published in Advanced Air Mobility Report, an Aviation Week Intelligence Network (AWIN) Market Briefing and is included with your AWIN Premium membership.

Already a member of AWIN or subscribe to Advanced Air Mobility through your company? Login with your existing email and password

Not a member?  Learn how to access the market intelligence and data you need to stay abreast of what's happening in the air transport community.

LoginLearn How

Related Content

LaGuardia Check in
FAA Outlines Process For $1B In Airport Grants
Joby Aviation
AAM Memo: What Does The SFAR Say About eVTOL Pilot Training?
737 production line
FAA Will Review Boeing’s Fleet Safety Risk Analysis, Support Programs
737 manufacturing
DOT Audit Blasts FAA Oversight Of Boeing
Boeing
FAA Warns On 737 Rudder Jams Caused By Improperly Assembled Bearings
Aviation Week Intelligence Network
Monitor the market and connect your business to the people, programs and proprietary data driving the Commercial Aviation market - only available with AWIN.

AVD_AWIN_270

Stay Connected.
Stay Informed.
Grow Your Business.

Learn How