Recursive Bayesian estimation - PDFSEARCH.IO - Document Search Engine

Recursive Bayesian estimation
Results: 31

#	Item
11	Robotic Mapping: A Survey Sebastian Thrun February 2002 CMU-CSSchool of Computer Science Add to Reading List Source URL: www.societyofrobots.com Language: English - Date: 2010-01-10 09:37:21 Signal processing Electronic engineering Control theory Robot control Occupancy grid mapping Estimation theory Simultaneous localization and mapping Recursive Bayesian estimation Kalman filter Robot navigation Linear filters Statistics
12	PEER-REVIEWED ARTICLE bioresources.com CONTROL BASED ON NUMERICAL METHODS AND RECURSIVE BAYESIAN ESTIMATION IN A CONTINUOUS ALCOHOLIC Add to Reading List Source URL: www.ncsu.edu Language: English - Date: 2009-09-02 10:20:32 Ethanol Fermentation Stochastic processes Bacteria Microbiology Zymomonas mobilis Ethanol fermentation Zymomonas Process Chemistry Statistics Biology
13	Multiple Vehicle Cooperative Localization with Spatial Registration Based on a Probability Hypothesis Density Filter Add to Reading List Source URL: www6.in.tum.de Language: English - Date: 2014-01-13 08:39:05 Estimation theory Control theory Linear filters Kalman filter Recursive Bayesian estimation Particle filter Vehicle Identification Number Sensor White noise Statistics Robot control Signal processing
14	Multi-Object Detection and Pose Estimation in 3D Point Clouds: A Fast Grid-Based Bayesian Filter Rui Pimentel de Figueiredo, Plinio Moreno, Alexandre Bernardino and Jos´e Santos-Victor Institute for Systems and Robotics Add to Reading List Source URL: first-mm.informatik.uni-freiburg.de Language: English - Date: 2013-11-15 03:33:58 Bayesian statistics Control theory Electronic engineering Robot control Linear filters Object recognition Particle filter Recursive Bayesian estimation Prior probability Estimation theory Statistics Signal processing
15	Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals Christian Plagemann 1 Dieter Fox 2 Add to Reading List Source URL: www.service-robotik-initiative.de Language: English - Date: 2007-11-05 10:06:33 Electronic engineering Control theory Robot control Linear filters Monte Carlo methods Particle filter Recursive Bayesian estimation Gaussian process Collision Statistics Signal processing Estimation theory
16	A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems Daniel Meyer-Delius1 , Christian Plagemann1 , Georg von Wichert2 , Wendelin Feiten2 , Gisbert Lawitzky2 , and Wolfram Burgard1 Add to Reading List Source URL: www.service-robotik-initiative.de Language: English - Date: 2007-11-05 10:05:53 Hidden Markov model Speech recognition Recursive Bayesian estimation Markov chain Relational model Layered hidden Markov model Hierarchical hidden Markov model Markov models Statistics Probability and statistics
17	Multi-Object Detection and Pose Estimation in 3D Point Clouds: A Fast Grid-Based Bayesian Filter Rui Pimentel de Figueiredo, Plinio Moreno, Alexandre Bernardino and Jos´e Santos-Victor Institute for Systems and Robotics Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2013-11-15 03:33:58 Bayesian statistics Control theory Electronic engineering Robot control Linear filters Object recognition Particle filter Recursive Bayesian estimation Prior probability Estimation theory Statistics Signal processing
18	Issues Related to Parameter Estimation in Model Accuracy Assessment Add to Reading List Source URL: www.dddas.org Language: English - Date: 2013-06-06 08:29:40 Robot control Signal processing Linear filters Kalman filter Maximum likelihood Particle filter Levenberg–Marquardt algorithm State observer Recursive Bayesian estimation Statistics Estimation theory Control theory
19	Efficient planning in non-Gaussian belief spaces and its application to robot grasping Robert Platt, Leslie Kaelbling, Tomas Lozano-Perez, and Russ Tedrake Abstract The limited nature of robot sensors make many important Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2011-10-05 18:46:47 Robot control Cybernetics Linear filters Markov models Kalman filter Particle filter Partially observable Markov decision process Normal distribution Recursive Bayesian estimation Statistics Control theory Estimation theory
20	Efficient planning in non-Gaussian belief spaces and its application to robot grasping Robert Platt, Leslie Kaelbling, Tomas Lozano-Perez, and Russ Tedrake Abstract The limited nature of robot sensors make many important Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:17:55 Robot control Cybernetics Linear filters Markov models Kalman filter Particle filter Partially observable Markov decision process Normal distribution Recursive Bayesian estimation Statistics Control theory Estimation theory

UPDATE