Developing Computationally-Efficient Nonlinear Cubature Kalman Filtering for Visual Inertial Odometry

Publication
Journal of Dynamic Systems, Measurement, and Control
Andrew Vardy
Andrew Vardy
Professor, Computer Science and Computer Engineering