Neural Information Processing Systems / John Wiley and Sons Inc. / IEEE Computer Society Press / MIT Press / Computer Sciences / Las Vegas NV / Sony / AI Laboratory / /
Country
United States / / /
Facility
University of North Carolina / Computer Sciences The University of Texas / University of Toronto Department / Chapel Hill / University of Texas / UT Austin Villa / /
IndustryTerm
Online self-calibration / noisy dynamic systems / nonlinear dynamical systems / linear dynamical systems / parameter estimation algorithm / em algorithm / offline processing / simultaneous on-line estimation / linear systems / /
MarketIndex
set 40 / /
NaturalFeature
Chapel Hill / /
Organization
Cambridge University Engineering Department / Royal Statistical Society / vol. / University of Texas at Austin / National Science Foundation / Department of Computer Science / MIT / University of North Carolina / University of Toronto Department of Computer Science / /
Person
Ian Fasel / Michael Quinlan / S. Chalup / Peter Stone / R. Middleton / Gregory Dudek / R. King / Dana Ballard / Benjamin Kuipers / Todd Hester / L. Li / Nate Kohl / C. Murch / T. Moore / Kalman Filtering / /
Position
Fisher / head / forward / /
ProvinceOrState
Texas / North Carolina / California / /
PublishedMedium
Journal of the Royal Statistical Society / /
Technology
laser / parameter estimation algorithm / EKFS algorithm / resulting algorithm / 4 processor / simulation / EM algorithm / RFID technology / pdf / /
To appear in IEEE International Conference on Robotics and Automation (ICRA ’08), Pasadena, CA, May[removed]Maximum Likelihood Estimation of Sensor and Action Model Functions on a Mobile Robot Daniel Stronger and Peter S