Tracking the position of a robot in an unknown environment is an important problem in robotics. Iterative closest point algorithms using range data are commonly used for position tracking, but can be computationally intensive. We describe a highly parallel occupancy grid iterative closest point position tracking algorithm designed for use on a GPU, that uses an Extended Kalman Filter to estimat...

BACKGROUND The objectives of this study were to characterize the translational and rotational accuracy of a model-based tracking technique for quantifying elbow kinematics and to demonstrate its in vivo application. METHOD OF APPROACH The accuracy of a model-based tracking technique for quantifying elbow kinematics was determined in an in vitro experiment. Biplane X-ray images of a cadaveric ...

Eye tracking as a quantitative method for collecting eye movement data, requires the accurate knowledge of the eye position, where eye movements can provide indirect evidence about what the subject sees. In this study two eye tracking devices have been compared, a Head-mounted Eye Tracking Device (HED) and a Remote Eye Tracking Device (RED). The precision of both devices has been evaluated, in ...