Accession Number:
AD1016424
Title:
Intelligent Pilot Intent Analysis System Using Artificial Intelligence Techniques
Descriptive Note:
Conference Paper
Corporate Author:
Stottler Henke Associates, Inc San Mateo United States
Personal Author(s):
Report Date:
2012-06-21
Pagination or Media Count:
10.0
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