Occupancy grid mapping

Results: 86



#Item
31Robotic mapping / Robot / Motion planning / ROS / Occupancy grid mapping / Robotics / Robot kinematics / Mobile robot

c 2008 International Press COMMUNICATIONS IN INFORMATION AND SYSTEMS Vol. 8, No. 2, pp, 2008

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Source URL: www.ims.cuhk.edu.hk

Language: English - Date: 2009-02-19 08:42:26
32Markov models / Cybernetics / Control theory / Simultaneous localization and mapping / Particle filter / Kalman filter / Robotic mapping / Occupancy grid mapping / Hidden Markov model / Robot control / Robot navigation / Statistics

Hierarchical Linear/Constant Time SLAM Using Particle Filters for Dense Maps Austin I. Eliazar Ronald Parr Department of Computer Science

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Source URL: www.cs.duke.edu

Language: English - Date: 2005-12-06 12:38:23
33Occupancy grid mapping / Mobile robot / Technology / Robotics / Localization / Robot / Dead reckoning / Sonar / Linguistics / Robot navigation / Cartography / Robotic mapping

The Rossum Project – http://rossum.sourceforge.net Poster by Vassilis Varveropoulos Robot Localization and Map Construction Using Sonar Data Vassilis Varveropoulos

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Source URL: rossum.sourceforge.net

Language: English - Date: 2001-04-21 02:28:34
34Artificial intelligence / Abstract algebra / Robotic mapping / Occupancy grid mapping / Kalman filter / Sheaf / Mobile robot navigation / Robot navigation / Topology / Simultaneous localization and mapping

A New Approach for Large-Scale Localization and Mapping: Hybrid Metric-Topological SLAM Jose-Luis Blanco, Juan-Antonio Fernández-Madrigal, Javier Gonzalez Dept. of System Engineering and Automation University of Malaga

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Source URL: mapir.isa.uma.es

Language: English - Date: 2013-04-17 12:23:31
35Robot navigation / Estimation theory / Robot control / Linear filters / Simultaneous localization and mapping / Statistical mechanics / Occupancy grid mapping / Kalman filter / Particle filter / Statistics / Probability and statistics / Applied mathematics

DP-SLAM 2.0 Austin I. Eliazar and Ronald Parr Department of Computer Science Duke University Durham, North Carolina[removed]Email: {eliazar,parr}@cs.duke.edu

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Source URL: www.cs.duke.edu

Language: English - Date: 2004-03-01 01:22:13
36Artificial intelligence / Robotic mapping / Occupancy grid mapping / Monte Carlo localization / Kinect / Mobile robot / Robot navigation / Human–computer interaction / Computer hardware

Textured Occupancy Grids for Monocular Localization Without Features Julian Mason, Susanna Ricco, and Ronald Parr Abstract— A textured occupancy grid map is an extremely versatile data structure. It can be used to rend

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Source URL: www.cs.duke.edu

Language: English - Date: 2011-03-29 12:03:44
37Robot navigation / Linear filters / Estimation theory / Bayesian statistics / Control theory / Recursive Bayesian estimation / Electronic engineering / Hidden Markov model / Markov chain / Markov models / Statistics / Occupancy grid mapping

J. Vis. Commun. Image R. xxx[removed]xxx–xxx Contents lists available at ScienceDirect J. Vis. Commun. Image R. journal homepage: www.elsevier.com/locate/jvci

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Source URL: robotics.usc.edu

Language: English - Date: 2013-08-27 13:44:52
38Signal 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

Robotic Mapping: A Survey Sebastian Thrun February 2002 CMU-CSSchool of Computer Science

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Source URL: www.societyofrobots.com

Language: English - Date: 2010-01-10 09:37:21
39Stochastic processes / Exponentials / Gaussian process / Occupancy grid mapping / Normal distribution / Variance / Kriging / Covariance matrix / Gaussian quadrature / Statistics / Data analysis / Gaussian function

Continuous Occupancy Mapping with Integral Kernels

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Source URL: www-personal.acfr.usyd.edu.au

Language: English - Date: 2015-01-05 23:35:41
40Machine learning / Self-organizing map / Robotics / Artificial neural network / Occupancy grid mapping / Control theory / Perception / Cognitive robotics / Neural networks / Science / Knowledge

Presented at the AAAI-2001 Spring Symposium on Learning Grounded Representations. Toward Learning the Causal Layer of the Spatial Semantic Hierarchy using SOMs Jefferson Provost and Patrick Beeson and Benjamin J. Kuiper

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Source URL: nn.cs.utexas.edu

Language: English - Date: 2005-07-19 16:04:20
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