In-Flight Advisor, Phase 1.

Abstract

This report is the result of a feasibility study to assess the use of artificial intelligence (Al) in alerting the crew of potential emergency situations before they actually occur. The objectives of the project are to specifically determine the feasibility of applying Al methodologies to reduce information overload on the pilot, to monitor data from selected components of an aircraft in flight, to inform the pilot of potentially critical events occurring or materializing, and to advise the pilot of specific actions to be taken in order to delay or avoid potential mishaps.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1999
Accession Number
ADA372523

Entities

People

  • Ammon Katz
  • Charles Gainer
  • Ellen Bass
  • Sally Mcinerny
  • Wayne T. Merritt

Organizations

  • University of Alabama

Tags

Communities of Interest

  • Air Platforms
  • Human Systems
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Airborne Warning And Control System
  • Aircraft Equipment
  • Aircraft Industry
  • Airframes
  • Aviation Accidents
  • Cognition
  • Cognitive Science
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Commercial Aircraft
  • Control Systems
  • Engineers
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Computer Interaction
  • Psychology
  • Warning Systems

Readers

  • Aviation Safety Risk Assessment.
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Software Engineering

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy