Christian Plagemann
- Research Area(s)
- Machine Perception
- Human-Computer Interaction and Visualization
Google Publications
-
Real-Time Human Pose Tracking from Range Data
Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun
Proceedings of the European Conference on Computer Vision (ECCV) (2012)
Previous Publications
-
Body Schema Learning
Jürgen Sturm, Christian Plagemann, Wolfram Burgard
Towards Service Robots for Everyday Environments (2012), pp. 131-161
-
A nonparametric learning approach to range sensing from omnidirectional vision
Christian Plagemann, Cyrill Stachniss, Jürgen Hess, Felix Endres, Nathan Franklin
Robotics and Autonomous Systems, vol. 58 (2010), pp. 762-772
-
A probabilistic approach to mixed open-loop and closed-loop control, with application to extreme autonomous driving
J. Zico Kolter, Christian Plagemann, David T. Jackson, Andrew Y. Ng, Sebastian Thrun
ICRA (2010), pp. 839-845
-
Assisted Highway Lane Changing with RASCL
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
AAAI Spring Symposium: Embedded Reasoning (2010)
-
Real Time Motion Capture Using a Single Time-Of-Flight Camera
Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun
CVPR (2010)
-
Real-time identification and localization of body parts from depth images
Christian Plagemann, Varun Ganapathi, Daphne Koller, Sebastian Thrun
ICRA (2010), pp. 3108-3113
-
Upsampling range data in dynamic environments
Jennifer Dolson, Jongmin Baek, Christian Plagemann, Sebastian Thrun
CVPR (2010), pp. 1141-1148
-
A Bayesian regression approach to terrain mapping and an application to legged robot locomotion
Christian Plagemann, Sebastian Mischke, Sam Prentice, Kristian Kersting, Nicholas Roy, Wolfram Burgard
J. Field Robotics, vol. 26 (2009), pp. 789-811
-
Classifying dynamic objects
Matthias Luber, Kai Oliver Arras, Christian Plagemann, Wolfram Burgard
Auton. Robots, vol. 26 (2009), pp. 141-151
-
Learning Kinematic Models for Articulated Objects
Jürgen Sturm, Vijay Pradeep, Cyrill Stachniss, Christian Plagemann, Kurt Konolige, Wolfram Burgard
IJCAI (2009), pp. 1851-1856
-
Learning gas distribution models using sparse Gaussian process mixtures
Cyrill Stachniss, Christian Plagemann, Achim J. Lilienthal
Auton. Robots, vol. 26 (2009), pp. 187-202
-
Look-ahead Proposals for Robust Grid-based SLAM with Rao-Blackwellized Particle Filters
Slawomir Grzonka, Christian Plagemann, Giorgio Grisetti, Wolfram Burgard
I. J. Robotic Res., vol. 28 (2009), pp. 191-200
-
Modeling RFID signal strength and tag detection for localization and mapping
Dominik Joho, Christian Plagemann, Wolfram Burgard
ICRA (2009), pp. 3160-3165
-
Probabilistic situation recognition for vehicular traffic scenarios
Daniel Meyer-Delius, Christian Plagemann, Wolfram Burgard
ICRA (2009), pp. 459-464
-
Unsupervised discovery of object classes from range data using latent Dirichlet allocation
Felix Endres, Christian Plagemann, Cyrill Stachniss, Wolfram Burgard
Robotics: Science and Systems (2009)
-
Adaptive Body Scheme Models for Robust Robotic Manipulation
Jürgen Sturm, Christian Plagemann, Wolfram Burgard
Robotics: Science and Systems (2008)
-
Classifying Dynamic Objects: An Unsupervised Learning Approach
Matthias Luber, Kai Oliver Arras, Christian Plagemann, Wolfram Burgard
Robotics: Science and Systems (2008)
-
Efficiently learning high-dimensional observation models for Monte-Carlo localization using Gaussian mixtures
Patrick Pfaff, Cyrill Stachniss, Christian Plagemann, Wolfram Burgard
IROS (2008), pp. 3539-3544
-
Estimating landmark locations from geo-referenced photographs
Henrik Kretzschmar, Cyrill Stachniss, Christian Plagemann, Wolfram Burgard
IROS (2008), pp. 2902-2907
-
Gas Distribution Modeling using Sparse Gaussian Process Mixture Models
Cyrill Stachniss, Christian Plagemann, Achim J. Lilienthal, Wolfram Burgard
Robotics: Science and Systems (2008)
-
Gaussian mixture models for probabilistic localization
Patrick Pfaff, Christian Plagemann, Wolfram Burgard
ICRA (2008), pp. 467-472
-
Learning predictive terrain models for legged robot locomotion
Christian Plagemann, Sebastian Mischke, Sam Prentice, Kristian Kersting, Nicholas Roy, Wolfram Burgard
IROS (2008), pp. 3545-3552
-
Monocular range sensing: A non-parametric learning approach
Christian Plagemann, Felix Endres, Juergen Michael Hess, Cyrill Stachniss, Wolfram Burgard
ICRA (2008), pp. 929-934
-
Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness
Christian Plagemann, Kristian Kersting, Wolfram Burgard
ECML/PKDD (2) (2008), pp. 204-219
-
Unsupervised body scheme learning through self-perception
Jürgen Sturm, Christian Plagemann, Wolfram Burgard
ICRA (2008), pp. 3328-3333
-
A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems
Daniel Meyer-Delius, Christian Plagemann, Georg von Wichert, Wendelin Feiten, Gisbert Lawitzky, Wolfram Burgard
GfKl (2007), pp. 269-276
-
Adaptive Non-Stationary Kernel Regression for Terrain Modeling
Tobias Lang, Christian Plagemann, Wolfram Burgard
Robotics: Science and Systems (2007)
-
Autonomous blimp control using model-free reinforcement learning in a continuous state and action space
Axel Rottmann, Christian Plagemann, Peter Hilgers, Wolfram Burgard
IROS (2007), pp. 1895-1900
-
Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals
Christian Plagemann, Dieter Fox, Wolfram Burgard
IJCAI (2007), pp. 2185-2190
-
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders
Christian Plagemann, Kristian Kersting, Patrick Pfaff, Wolfram Burgard
Robotics: Science and Systems (2007)
-
Improved likelihood models for probabilistic localization based on range scans
Patrick Pfaff, Christian Plagemann, Wolfram Burgard
IROS (2007), pp. 2192-2197
-
Look-Ahead Proposals for Robust Grid-Based SLAM
Slawomir Grzonka, Christian Plagemann, Giorgio Grisetti, Wolfram Burgard
FSR (2007), pp. 329-338
-
Most likely heteroscedastic Gaussian process regression
Kristian Kersting, Christian Plagemann, Patrick Pfaff, Wolfram Burgard
ICML (2007), pp. 393-400
-
Efficient Failure Detection for Mobile Robots Using Mixed-Abstraction Particle Filters
Christian Plagemann, Cyrill Stachniss, Wolfram Burgard
EUROS (2006), pp. 93-107
-
Learning Relational Navigation Policies
Alexandru Cocora, Kristian Kersting, Christian Plagemann, Wolfram Burgard, Luc De Raedt
IROS (2006), pp. 2792-2797
-
Sequential Parameter Estimation for Fault Diagnosis in Mobile Robots Using Particle Filters
Christian Plagemann, Wolfram Burgard
AMS (2005), pp. 197-202
-
Vision-Based 3D Object Localization Using Probabilistic Models of Appearance
Christian Plagemann, Thomas Müller, Wolfram Burgard
DAGM-Symposium (2005), pp. 184-191
