Tyler Ryan

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In this paper we describe a vision-based algorithm to control a vertical-takeoff-and-landing unmanned aerial vehicle while tracking and landing on a moving platform. Specifically, we use image-based visual servoing (IBVS) to track the platform in two-dimensional image space and generate a velocity reference command used as the input to an adaptive sliding(More)
In this paper, we present a method for using linear matrix inequalities (LMIs) to synthesize controller gains for a quadrotor system. The controller is based on approximate feedback linearization and is structured to allow for tuning similar to proportional-integral-derivative (PID) controllers. The synthesis procedure generates suboptimal gains with(More)
The present study examined the ability of traditional neuropsychological measures to predict successful vocational training in a severely neurologically impaired population. Eighty head trauma patients were evaluated prior to pre-vocational training which involved cognitive remediation and psychosocially-based intervention. Subjects were approximately 2(More)
In this paper, we describe a method for using Bayesian inference to create probabilistic point correspondences in video sequences. Using state prior distribution information from the onboard Kalman filter found in most unmanned aerial vehicles, we derive an accurate normal approximation for the movement of points in image space. It is then a direct(More)
Various critics or "method skeptics" have contended that clinical neuropsychology is not sufficiently developed as a science to be offered as evidence in legal or trial proceedings. The present article attempts to balance the extreme position of the method skeptics with an overview of legal and research data that support forensic applications of(More)
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