Παρακολούθηση
Christian Plagemann
Christian Plagemann
Google Research
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα google.com - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Real time motion capture using a single time-of-flight camera
V Ganapathi, C Plagemann, D Koller, S Thrun
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
5662010
Most likely heteroscedastic Gaussian process regression
K Kersting, C Plagemann, P Pfaff, W Burgard
Proceedings of the 24th international conference on Machine learning, 393-400, 2007
4692007
Real-time identification and localization of body parts from depth images
C Plagemann, V Ganapathi, D Koller, S Thrun
2010 IEEE International Conference on Robotics and Automation, 3108-3113, 2010
4162010
Supplementing speech commands with gestures
B Smus, AJ Kauffmann, C Plagemann
US Patent 9,390,726, 2016
2542016
Modeling RFID signal strength and tag detection for localization and mapping
D Joho, C Plagemann, W Burgard
2009 IEEE International Conference on Robotics and Automation, 3160-3165, 2009
2292009
Real-time human pose tracking from range data
V Ganapathi, C Plagemann, D Koller, S Thrun
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
2062012
Upsampling range data in dynamic environments
J Dolson, J Baek, C Plagemann, S Thrun
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
2002010
Nonstationary Gaussian process regression using point estimates of local smoothness
C Plagemann, K Kersting, W Burgard
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008
1272008
Probabilistic situation recognition for vehicular traffic scenarios
D Meyer-Delius, C Plagemann, W Burgard
2009 IEEE International Conference on Robotics and Automation, 459-464, 2009
1232009
Adaptive Non-Stationary Kernel Regression for Terrain Modeling.
T Lang, C Plagemann, W Burgard
Robotics: Science and Systems 6, 2007
1162007
Improving RFID-based indoor positioning accuracy using Gaussian processes
F Seco, C Plagemann, AR Jiménez, W Burgard
2010 International Conference on Indoor Positioning and Indoor Navigation, 1-8, 2010
1062010
Learning gas distribution models using sparse Gaussian process mixtures
C Stachniss, C Plagemann, AJ Lilienthal
Autonomous Robots 26, 187-202, 2009
1032009
A probabilistic approach to mixed open-loop and closed-loop control, with application to extreme autonomous driving
JZ Kolter, C Plagemann, DT Jackson, AY Ng, S Thrun
2010 IEEE International Conference on Robotics and Automation, 839-845, 2010
1002010
Learning predictive terrain models for legged robot locomotion
C Plagemann, S Mischke, S Prentice, K Kersting, N Roy, W Burgard
2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008
992008
Virtual touch user interface system and methods
C Plagemann, H Dahlkamp, V Ganapathi
US Patent App. 13/758,761, 2015
932015
Unsupervised discovery of object classes from range data using latent Dirichlet allocation.
F Endres, C Plagemann, C Stachniss, W Burgard
Robotics: Science and Systems 2, 113120, 2009
892009
Self-initiated change of appearance for subjects in video and images
AJ Kauffmann, C Plagemann
US Patent 9,460,340, 2016
772016
Body schema learning for robotic manipulators from visual self-perception
J Sturm, C Plagemann, W Burgard
Journal of Physiology-Paris 103 (3-5), 220-231, 2009
752009
Autonomous blimp control using model-free reinforcement learning in a continuous state and action space
A Rottmann, C Plagemann, P Hilgers, W Burgard
2007 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2007
672007
Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals.
C Plagemann, D Fox, W Burgard
IJCAI, 2185-2190, 2007
672007
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