Artificial Intelligence (AI) Flight Advisor
Project Introduction
This research effort applies Deep Learning to contingency management. Many historic aircraft accidents would have been avoidable if the pilot had better diagnosis of the aircraft fault state and knowledge of the best corrective actions. This research effort is working toward developing the capability to diagnose the fault state and provide the best corrective action. In addition, as autonomous systems become more widely used, a system such as this will be needed to provide direction to the autonomous system as it encounters new and unexpected circumstances.
More »Anticipated Benefits
This technology has the potential to provide contingency management advisory systems for crewed or autonomous vehicles. These systems could aid pilots during emergencies and potentially help avoid loss of equipment or ensure safety of pilots as well as personnel on the ground.
More »Primary U.S. Work Locations and Key Partners
| Organizations Performing Work | Role | Type | Location |
|---|---|---|---|
Armstrong Flight Research Center
(AFRC)
|
Lead Organization | NASA Center | Edwards, California |
Primary U.S. Work Locations
-
California
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Organizational Responsibility
Responsible Mission Directorate:
- Space Technology Mission Directorate (STMD)
Lead Center / Facility:
- Armstrong Flight Research Center (AFRC)
Responsible Program:
- Center Innovation Fund: AFRC CIF
Project Management
Program Director:
Program Manager:
Principal Investigator:
Project Duration
Technology Maturity (TRL)
| Start: | 1 |
| Current: | 2 |
| Estimated End: | 3 |
Technology Areas
Primary:
- TX16 Air Traffic Management and Range Tracking Systems
- TX16.1 Safe All Vehicle Access
