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Proceedings Paper

Control System Validation In The Autonomous Helicopter
Author(s): John F. Gilmore; John Fugedy; Thomas Friedel
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Paper Abstract

Autonomous systems require the ability to analyze their environment and develop responsive plans of action. Autonomous vehicle research has led to the development of several land, sea, and air vehicle prototypes. These systems integrate vision, diagnostics, planning, situation assessment, tactical reasoning, and intelligent control at a variety of levels to function in limited environments or computer simulation. Route planning in these systems has historically focused on pure numerical computations unable to adapt to the dynamic nature of the world. This paper describes a knowledge-based system for autonomous route planning that has been applied to airborne vehicles. Specific focus is the vehicle model knowledge source that validates routes based upon the physical capabilities of the helicopter system. An overview of the autonomous helicopter is present to establish system context with specific results in validated route planning presented.

Paper Details

Date Published: 21 March 1989
PDF: 11 pages
Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); doi: 10.1117/12.969358
Show Author Affiliations
John F. Gilmore, Georgia Tech Research Institute (United States)
John Fugedy, Georgia Tech Research Institute (United States)
Thomas Friedel, Georgia Tech Research Institute (United States)


Published in SPIE Proceedings Vol. 1095:
Applications of Artificial Intelligence VII
Mohan M. Trivedi, Editor(s)

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