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ORCIDChristian Plagemann
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2010 – 2019
- 2012
[c33]Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun:
Real-Time Human Pose Tracking from Range Data. ECCV (6) 2012: 738-751- [p2]Jürgen Sturm, Christian Plagemann, Wolfram Burgard:
Body Schema Learning. Towards Service Robots for Everyday Environments 2012: 131-161 - 2010
- [j7]Christian Plagemann, Cyrill Stachniss
, Jürgen Hess, Felix Endres, Nathan Franklin:
A nonparametric learning approach to range sensing from omnidirectional vision. Robotics Auton. Syst. 58(6): 762-772 (2010) - [c32]Richard Oliver Frankel, Olafur Gudmundsson, Brett Miller, Jordan Potter, Todd Sullivan, Salik Syed, Doreen Hoang, Jae Min John, Ki-Shui Liao, Pasha Nahass, Amanda Schwab, Jessica Yuan, David Stavens, Christian Plagemann, Clifford Nass, Sebastian Thrun:
Assisted Highway Lane Changing with RASCL. AAAI Spring Symposium: Embedded Reasoning 2010 - [c31]Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun:
Real time motion capture using a single time-of-flight camera. CVPR 2010: 755-762 - [c30]Jennifer Dolson, Jongmin Baek, Christian Plagemann, Sebastian Thrun:
Upsampling range data in dynamic environments. CVPR 2010: 1141-1148 - [c29]J. Zico Kolter, Christian Plagemann, David T. Jackson, Andrew Y. Ng, Sebastian Thrun:
A probabilistic approach to mixed open-loop and closed-loop control, with application to extreme autonomous driving. ICRA 2010: 839-845 - [c28]Christian Plagemann, Varun Ganapathi, Daphne Koller, Sebastian Thrun:
Real-time identification and localization of body parts from depth images. ICRA 2010: 3108-3113 - [c27]Fernando Seco, Christian Plagemann, Antonio Ramón Jiménez, Wolfram Burgard:
Improving RFID-based indoor positioning accuracy using Gaussian processes. IPIN 2010: 1-8 - [p1]Michael Brenner, Christian Plagemann, Bernhard Nebel, Wolfram Burgard, Nick Hawes:
Planning and Failure Detection. Cognitive Systems 2010: 223-264
2000 – 2009
- 2009
- [j6]Matthias Luber, Kai Oliver Arras, Christian Plagemann, Wolfram Burgard:
Classifying dynamic objects. Auton. Robots 26(2-3): 141-151 (2009) - [j5]Cyrill Stachniss, Christian Plagemann, Achim J. Lilienthal:
Learning gas distribution models using sparse Gaussian process mixtures. Auton. Robots 26(2-3): 187-202 (2009) - [j4]Slawomir Grzonka, Christian Plagemann, Giorgio Grisetti, Wolfram Burgard:
Look-ahead Proposals for Robust Grid-based SLAM with Rao-Blackwellized Particle Filters. Int. J. Robotics Res. 28(2): 191-200 (2009) - [j3]Christian Plagemann, Sebastian Mischke, Sam Prentice, Kristian Kersting, Nicholas Roy, Wolfram Burgard:
A Bayesian regression approach to terrain mapping and an application to legged robot locomotion. J. Field Robotics 26(10): 789-811 (2009) - [c26]Daniel Meyer-Delius, Christian Plagemann, Wolfram Burgard:
Probabilistic situation recognition for vehicular traffic scenarios. ICRA 2009: 459-464 - [c25]Dominik Joho, Christian Plagemann, Wolfram Burgard:
Modeling RFID signal strength and tag detection for localization and mapping. ICRA 2009: 3160-3165 - [c24]Jürgen Sturm, Vijay Pradeep, Cyrill Stachniss, Christian Plagemann, Kurt Konolige, Wolfram Burgard:
Learning Kinematic Models for Articulated Objects. IJCAI 2009: 1851-1856 - [c23]Felix Endres, Christian Plagemann, Cyrill Stachniss, Wolfram Burgard:
Unsupervised discovery of object classes from range data using latent Dirichlet allocation. Robotics: Science and Systems 2009 - 2008
- [b1]Christian Plagemann:
Gaussian processes for flexible robot learning. University of Freiburg, 2008 - [c22]Patrick Pfaff, Christian Plagemann, Wolfram Burgard:
Gaussian mixture models for probabilistic localization. ICRA 2008: 467-472 - [c21]Christian Plagemann, Felix Endres, Jürgen Hess, Cyrill Stachniss, Wolfram Burgard:
Monocular range sensing: A non-parametric learning approach. ICRA 2008: 929-934 - [c20]Jürgen Sturm, Christian Plagemann, Wolfram Burgard:
Unsupervised body scheme learning through self-perception. ICRA 2008: 3328-3333 - [c19]Henrik Kretzschmar, Cyrill Stachniss, Christian Plagemann, Wolfram Burgard:
Estimating landmark locations from geo-referenced photographs. IROS 2008: 2902-2907 - [c18]Patrick Pfaff, Cyrill Stachniss, Christian Plagemann, Wolfram Burgard:
Efficiently learning high-dimensional observation models for Monte-Carlo localization using Gaussian mixtures. IROS 2008: 3539-3544 - [c17]Christian Plagemann, Sebastian Mischke, Sam Prentice, Kristian Kersting, Nicholas Roy, Wolfram Burgard:
Learning predictive terrain models for legged robot locomotion. IROS 2008: 3545-3552 - [c16]Christian Plagemann, Kristian Kersting, Wolfram Burgard:
Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness. ECML/PKDD (2) 2008: 204-219 - [c15]Matthias Luber, Kai Oliver Arras, Christian Plagemann, Wolfram Burgard:
Classifying Dynamic Objects: An Unsupervised Learning Approach. Robotics: Science and Systems 2008 - [c14]Cyrill Stachniss, Christian Plagemann, Achim J. Lilienthal, Wolfram Burgard:
Gas Distribution Modeling using Sparse Gaussian Process Mixture Models. Robotics: Science and Systems 2008 - [c13]Jürgen Sturm, Christian Plagemann, Wolfram Burgard:
Adaptive Body Scheme Models for Robust Robotic Manipulation. Robotics: Science and Systems 2008 - 2007
- [j2]Kristian Kersting, Christian Plagemann, Alexandru Cocora, Wolfram Burgard, Luc De Raedt:
Learning to transfer optimal navigation policies. Adv. Robotics 21(13): 1565-1582 (2007) - [c12]Slawomir Grzonka, Christian Plagemann, Giorgio Grisetti, Wolfram Burgard:
Look-Ahead Proposals for Robust Grid-Based SLAM. FSR 2007: 329-338 - [c11]Daniel Meyer-Delius, Christian Plagemann, Georg von Wichert, Wendelin Feiten, Gisbert Lawitzky, Wolfram Burgard:
A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems. GfKl 2007: 269-276 - [c10]Kristian Kersting, Christian Plagemann, Patrick Pfaff, Wolfram Burgard:
Most likely heteroscedastic Gaussian process regression. ICML 2007: 393-400 - [c9]Christian Plagemann, Dieter Fox, Wolfram Burgard:
Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals. IJCAI 2007: 2185-2190 - [c8]Axel 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 - [c7]Patrick Pfaff, Christian Plagemann, Wolfram Burgard:
Improved likelihood models for probabilistic localization based on range scans. IROS 2007: 2192-2197 - [c6]Tobias Lang, Christian Plagemann, Wolfram Burgard:
Adaptive Non-Stationary Kernel Regression for Terrain Modeling. Robotics: Science and Systems 2007 - [c5]Christian Plagemann, Kristian Kersting, Patrick Pfaff, Wolfram Burgard:
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders. Robotics: Science and Systems 2007 - 2006
- [j1]Alexandru Cocora, Kristian Kersting, Wolfram Burgard, Luc De Raedt, Christian Plagemann:
Learning Relational Navigation Policies. Künstliche Intell. 20(3): 12-18 (2006) - [c4]Christian Plagemann, Cyrill Stachniss, Wolfram Burgard:
Efficient Failure Detection for Mobile Robots Using Mixed-Abstraction Particle Filters. EUROS 2006: 93-107 - [c3]Alexandru Cocora, Kristian Kersting, Christian Plagemann, Wolfram Burgard, Luc De Raedt:
Learning Relational Navigation Policies. IROS 2006: 2792-2797 - 2005
- [c2]Christian Plagemann, Wolfram Burgard:
Sequential Parameter Estimation for Fault Diagnosis in Mobile Robots Using Particle Filters. AMS 2005: 197-202 - [c1]Christian Plagemann, Thomas Müller, Wolfram Burgard:
Vision-Based 3D Object Localization Using Probabilistic Models of Appearance. DAGM-Symposium 2005: 184-191
Coauthor Index
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