| 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 | 536 | 2010 |
| 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 | 409 | 2010 |
| 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 | 401 | 2007 |
| 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 | 218 | 2009 |
| 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 | 196 | 2010 |
| 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 | 194 | 2012 |
| Supplementing speech commands with gestures B Smus, AJ Kauffmann, C Plagemann US Patent 9,390,726, 2016 | 180 | 2016 |
| Nonstationary Gaussian process regression using point estimates of local smoothness C Plagemann, K Kersting, W Burgard Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008 | 115 | 2008 |
| 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 | 110 | 2009 |
| Adaptive Non-Stationary Kernel Regression for Terrain Modeling. T Lang, C Plagemann, W Burgard Robotics: Science and Systems 6, 2007 | 108 | 2007 |
| 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 | 101 | 2010 |
| 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 | 97 | 2010 |
| Learning gas distribution models using sparse Gaussian process mixtures C Stachniss, C Plagemann, AJ Lilienthal Autonomous Robots 26, 187-202, 2009 | 94 | 2009 |
| 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 | 90 | 2008 |
| 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 | 84 | 2009 |
| 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 | 72 | 2009 |
| Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders. C Plagemann, K Kersting, P Pfaff, W Burgard Robotics: Science and Systems, 2007 | 65 | 2007 |
| Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals. C Plagemann, D Fox, W Burgard IJCAI, 2185-2190, 2007 | 65 | 2007 |
| 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 | 62 | 2007 |
| Learning kinematic models for articulated objects J Sturm, V Pradeep, C Stachniss, C Plagemann, K Konolige, W Burgard Twenty-First International Joint Conference on Artificial Intelligence, 2009 | 59 | 2009 |
Wolfram BurgardProfessor of Computer Science, Technical University of Nuremberg在 utn.de 的电子邮件经过验证
