NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Press Enter or click the Search button to begin your search.

Back to Results
Problems in Machine Learning-Based Systems for Safety-Critical AvionicsTo explore, discover, and understand the impact on safety of growing complexity introduced by modernization aimed at improving the efficiency of flight, the access to airspace, and/or the expansion of services provided by air vehicles.

To develop and demonstrate innovative solutions that enable this modernization and the aviation transformation envisioned by ARMD through proactive mitigation of risks in accordance with target levels of safety.
Document ID
20220002304
Acquisition Source
Langley Research Center
Document Type
Presentation
Authors
Natasha A. Neogi
(Langley Research Center Hampton, Virginia, United States)
Sarah M. Lehman
(Langley Research Center Hampton, Virginia, United States)
Date Acquired
February 10, 2022
Subject Category
Air Transportation And Safety
Meeting Information
Meeting: DARPA Proposers' Day
Location: Virtual
Country: US
Start Date: February 17, 2022
Sponsors: Defense Advanced Research Projects Agency
Funding Number(s)
WBS: 340428.02.60.07.01
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Technical Review
NASA Peer Committee
Keywords
Safety Critical Systems
Productive Safety
Machine Learning
No Preview Available