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Christian Plagemann

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2008
18EEChristian Plagemann, Kristian Kersting, Wolfram Burgard: Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness. ECML/PKDD (2) 2008: 204-219
17EEJürgen Sturm, Christian Plagemann, Wolfram Burgard: Unsupervised body scheme learning through self-perception. ICRA 2008: 3328-3333
16EEPatrick Pfaff, Christian Plagemann, Wolfram Burgard: Gaussian mixture models for probabilistic localization. ICRA 2008: 467-472
15EEChristian Plagemann, Felix Endres, Juergen Michael Hess, Cyrill Stachniss, Wolfram Burgard: Monocular range sensing: A non-parametric learning approach. ICRA 2008: 929-934
14EEHenrik Kretzschmar, Cyrill Stachniss, Christian Plagemann, Wolfram Burgard: Estimating landmark locations from geo-referenced photographs. IROS 2008: 2902-2907
13EEPatrick Pfaff, Cyrill Stachniss, Christian Plagemann, Wolfram Burgard: Efficiently learning high-dimensional observation models for Monte-Carlo localization using Gaussian mixtures. IROS 2008: 3539-3544
12EEChristian Plagemann, Sebastian Mischke, Sam Prentice, Kristian Kersting, Nicholas Roy, Wolfram Burgard: Learning predictive terrain models for legged robot locomotion. IROS 2008: 3545-3552
2007
11EESlawomir Grzonka, Christian Plagemann, Giorgio Grisetti, Wolfram Burgard: Look-Ahead Proposals for Robust Grid-Based SLAM. FSR 2007: 329-338
10EEKristian Kersting, Christian Plagemann, Patrick Pfaff, Wolfram Burgard: Most likely heteroscedastic Gaussian process regression. ICML 2007: 393-400
9EEChristian Plagemann, Dieter Fox, Wolfram Burgard: Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals. IJCAI 2007: 2185-2190
8EEAxel Rottmann, Christian Plagemann, Peter Hilgers, Wolfram Burgard: Autonomous blimp control using model-free reinforcement learning in a continuous state and action space. IROS 2007: 1895-1900
7EEPatrick Pfaff, Christian Plagemann, Wolfram Burgard: Improved likelihood models for probabilistic localization based on range scans. IROS 2007: 2192-2197
6EETobias Lang, Christian Plagemann, Wolfram Burgard: Adaptive Non-Stationary Kernel Regression for Terrain Modeling. Robotics: Science and Systems 2007
5EEChristian Plagemann, Kristian Kersting, Patrick Pfaff, Wolfram Burgard: Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders. Robotics: Science and Systems 2007
2006
4EEChristian Plagemann, Cyrill Stachniss, Wolfram Burgard: Efficient Failure Detection for Mobile Robots Using Mixed-Abstraction Particle Filters. EUROS 2006: 93-107
3EEAlexandru Cocora, Kristian Kersting, Christian Plagemann, Wolfram Burgard, Luc De Raedt: Learning Relational Navigation Policies. IROS 2006: 2792-2797
2005
2EEChristian Plagemann, Wolfram Burgard: Sequential Parameter Estimation for Fault Diagnosis in Mobile Robots Using Particle Filters. AMS 2005: 197-202
1EEChristian Plagemann, Thomas Müller, Wolfram Burgard: Vision-Based 3D Object Localization Using Probabilistic Models of Appearance. DAGM-Symposium 2005: 184-191

Coauthor Index

1Wolfram Burgard [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18]
2Alexandru Cocora [3]
3Felix Endres [15]
4Dieter Fox [9]
5Giorgio Grisetti [11]
6Slawomir Grzonka [11]
7Juergen Michael Hess [15]
8Peter Hilgers [8]
9Kristian Kersting [3] [5] [10] [12] [18]
10Henrik Kretzschmar [14]
11Tobias Lang [6]
12Sebastian Mischke [12]
13Thomas Müller [1]
14Patrick Pfaff [5] [7] [10] [13] [16]
15Sam Prentice [12]
16Luc De Raedt [3]
17Axel Rottmann [8]
18Nicholas Roy [12]
19Cyrill Stachniss [4] [13] [14] [15]
20Jürgen Sturm [17]

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)