Intelligent Pilot Intent Analysis System Using Artificial Intelligence Techniques

Abstract

This paper presents the design, prototyping and testing results for a software system thatautomatically analyzes Air Traffic Control (ATC) communications that have been convertedto speech along with location and velocity data of other aircraft from onboard sensors todetermine pilot intent and predict their trajectories. The design includes novel knowledgerepresentation techniques for this domain such as procedure graphs, dialog graphs, andgrammar fragments. The design was prototyped and tested on actual ATC communicationsfrom San Jose International Airport (SJC). Results of this testing are also presented

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Document Details

Document Type
Technical Report
Publication Date
Jun 21, 2012
Accession Number
AD1016424

Entities

People

  • Bonnie Schwartz
  • Randy Jensen
  • Richard Stottler

Organizations

  • Stottler Henke Associates

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Aeronautics
  • Air Force Research Laboratories
  • Air Traffic
  • Aircrafts
  • Artificial Intelligence
  • Astronautics
  • Automated Speech Recognition
  • Bayesian Networks
  • Cognition
  • Grammars
  • Graphs
  • International Airports
  • Models
  • Probability
  • Prototypes
  • Simulations
  • Unmanned Aerial Vehicles

Fields of Study

  • Computer science

Readers

  • Aviation Safety and Air Traffic Management
  • Neural Network Machine Learning.
  • Nuclear Civil Defense.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems