Validating a UAV artificial intelligence control system using an autonomous test case generator
Jeremy Straub, Justin Huber · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2013
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.