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Proceedings Paper

Validating a UAV artificial intelligence control system using an autonomous test case generator
Author(s): Jeremy Straub; Justin Huber
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Paper Abstract

The validation of safety-critical applications, such as autonomous UAV operations in an environment which may include human actors, is an ill posed problem. To confidence in the autonomous control technology, numerous scenarios must be considered. This paper expands upon previous work, related to autonomous testing of robotic control algorithms in a two dimensional plane, to evaluate the suitability of similar techniques for validating artificial intelligence control in three dimensions, where a minimum level of airspeed must be maintained. The results of human-conducted testing are compared to this automated testing, in terms of error detection, speed and testing cost.

Paper Details

Date Published: 31 May 2013
PDF: 5 pages
Proc. SPIE 8713, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications X, 87130I (31 May 2013); doi: 10.1117/12.2018591
Show Author Affiliations
Jeremy Straub, Univ. of North Dakota (United States)
Justin Huber, Univ. of North Dakota (United States)

Published in SPIE Proceedings Vol. 8713:
Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications X
Daniel J. Henry; Davis A. Lange; Dale Linne von Berg; S. Danny Rajan; Thomas J. Walls; Darrell L. Young, Editor(s)

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