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Kálmán
Results: 1711

#	Item
901	Planning-based Prediction for Pedestrians Brian D. Ziebart1 Nathan Ratliff1 Garratt Gallagher1 Christoph Mertz1 Kevin Peterson1 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-10-08 23:01:33 Mathematical optimization Cybernetics Markov models Control theory Stochastic control Reinforcement learning Bellman equation Motion planning Kalman filter Statistics Dynamic programming Systems theory
902	A Fireboat and Its Heroic Adventures Grades[removed]Lesson Plans Materials provided by: Add to Reading List Source URL: pentagonmemorial.org Language: English - Date: 2013-05-05 00:14:14 John J. Harvey Maira Kalman Fire Fighter Fireboats New York City Fire Department Watercraft
903	Improved characterization of river-aquifer interactions through data assimilation with the Ensemble Kalman Filter Add to Reading List Source URL: wwwzb1.fz-juelich.de Language: English - Date: 2014-01-20 03:54:27 Water Estimation theory Control theory Hydrology Linear filters Data assimilation Ensemble Kalman filter Kalman filter Aquifer Cybernetics Statistics Hydraulic engineering
904	A Filtering Approach to Stochastic Variational Inference Neil M.T. Houlsby ∗ Google Research Zurich, Switzerland [removed] Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2014-11-30 04:49:19 Electronic engineering Estimation theory Linear filters Bayesian statistics Markov models Kalman filter Variational Bayesian methods Calculus of variations Robot control Statistics Control theory
905	Séminaire vendredi le 23 janvier[removed]:00h / Seminar Friday January 23rd[removed]:00h Sujet/Subject : Progress and challenges in regional scale ensemble based data assimilation Langue/language Add to Reading List Source URL: collaboration.cmc.ec.gc.ca Language: English - Date: 2015-01-23 17:12:31 Bayesian statistics Estimation theory Control theory Cybernetics Linear filters Data assimilation Ensemble Kalman filter Numerical weather prediction Kalman filter Statistics Science Weather prediction
906	Building Hybrid Rover Models: Lessons Learned Thomas Willeke1 and Richard Dearden2 Abstract. Particle filters have recently become popular for diagnosis and monitoring of hybrid systems. In this paper we describe our exp Add to Reading List Source URL: www.sunspiral.org Language: English - Date: 2008-05-10 23:44:34 Robot control Estimation theory Computational statistics Markov models Linear filters Particle filter Kalman filter Rover Company Diagnosis Robotics Statistics Spaceflight
907	Microsoft Word - Revision of CLIDY-D[removed] Add to Reading List Source URL: aos.wisc.edu Language: English - Date: 2014-03-19 18:37:09 Atmospheric sciences Control theory Bayesian statistics Linear filters Regression analysis Data assimilation Parameter Kalman filter Global climate model Statistics Estimation theory Science
908	SERIES A DYNAMIC METEOROLOGY AND OCEANOGRAPHY PUBLISHED BY THE INTERNATIONAL METEOROLOGICAL INSTITUTE IN STOCKHOLM Add to Reading List Source URL: aos.wisc.edu Language: English - Date: 2014-03-19 18:37:08 Control theory Science Bayesian statistics Linear filters Statistical forecasting Data assimilation Parameter Kalman filter Global climate model Statistics Estimation theory Atmospheric sciences
909	Robust Trajectory Planning for Autonomous Parafoils under Wind Uncertainty Brandon Luders∗, Ian Sugel†, and Jonathan P. How‡ Aerospace Controls Laboratory Massachusetts Institute of Technology, Cambridge, MA {luder Add to Reading List Source URL: acl.mit.edu Language: English - Date: 2013-08-20 15:51:46 Aerospace engineering Aviation Parachuting Parafoil Wind Control theory Kalman filter Meteorology Atmospheric sciences Kites
910	Real-time Fault Detection and Situational Awareness for Rovers: Report on the Mars Technology Program Task Richard Dearden, Thomas Willeke {RIACS, QSS Group Inc.} / NASA Ames Research Center M.S[removed], Moffett Field, CA Add to Reading List Source URL: www.sunspiral.org Language: English - Date: 2008-05-10 23:44:33 Control theory Electronic engineering Markov models Monte Carlo methods Linear filters Particle filter Extended Kalman filter Kalman filter Normal distribution Statistics Robot control Estimation theory

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