Christian Plagemann - researchr alias

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Viewing Publication 1 - 43 from 43

2012

Real-Time Human Pose Tracking from Range DataVarun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun. eccv 2012: 738-751 [doi]

Body Schema LearningJürgen Sturm, Christian Plagemann, Wolfram Burgard. In Erwin Prassler, Johann Marius Zöllner, Rainer Bischoff 0004, Wolfram Burgard, Robert Haschke, Martin Hägele, Gisbert Lawitzky, Bernhard Nebel, Paul-Gerhard Plöger, Ulrich Reiser, editors, Towards Service Robots for Everyday Environments - Recent Advances in Designing Service Robots for Complex Tasks in Everyday Environments. Volume 76 of Springer Tracts in Advanced Robotics, pages 131-161, Springer, 2012. [doi]

2010

Planning and Failure DetectionMichael Brenner 0001, Christian Plagemann, Bernhard Nebel, Wolfram Burgard, Nick Hawes. In Henrik Iskov Christensen, Geert-Jan M. Kruijff, Jeremy L. Wyatt, editors, Cognitive Systems. Volume 8 of Cognitive Systems Monographs, pages 223-264, Springer, 2010. [doi]

Upsampling range data in dynamic environmentsJennifer Dolson, Jongmin Baek, Christian Plagemann, Sebastian Thrun. cvpr 2010: 1141-1148 [doi]

Assisted Highway Lane Changing with RASCLRichard 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. aaaiss 2010: [doi]

Real time motion capture using a single time-of-flight cameraVarun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun. cvpr 2010: 755-762 [doi]

A probabilistic approach to mixed open-loop and closed-loop control, with application to extreme autonomous drivingJ. Zico Kolter, Christian Plagemann, David T. Jackson, Andrew Y. Ng, Sebastian Thrun. icra 2010: 839-845 [doi]

Real-time identification and localization of body parts from depth imagesChristian Plagemann, Varun Ganapathi, Daphne Koller, Sebastian Thrun. icra 2010: 3108-3113 [doi]

A nonparametric learning approach to range sensing from omnidirectional visionChristian Plagemann, Cyrill Stachniss, Jürgen Hess, Felix Endres, Nathan Franklin. ras, 58(6):762-772, 2010. [doi]

Improving RFID-based indoor positioning accuracy using Gaussian processesFernando Seco, Christian Plagemann, Antonio Ramón Jiménez, Wolfram Burgard. ipin 2010: 1-8 [doi]

2009

Unsupervised discovery of object classes from range data using latent Dirichlet allocationFelix Endres, Christian Plagemann, Cyrill Stachniss, Wolfram Burgard. rss 2010: [doi]

Look-ahead Proposals for Robust Grid-based SLAM with Rao-Blackwellized Particle FiltersSlawomir Grzonka, Christian Plagemann, Giorgio Grisetti, Wolfram Burgard. ijrr, 28(2):191-200, 2009. [doi]

Modeling RFID signal strength and tag detection for localization and mappingDominik Joho, Christian Plagemann, Wolfram Burgard. icra 2009: 3160-3165 [doi]

Classifying dynamic objectsMatthias Luber, Kai Oliver Arras, Christian Plagemann, Wolfram Burgard. arobots, 26(2-3):141-151, 2009. [doi]

Probabilistic situation recognition for vehicular traffic scenariosDaniel Meyer-Delius, Christian Plagemann, Wolfram Burgard. icra 2009: 459-464 [doi]

A Bayesian regression approach to terrain mapping and an application to legged robot locomotionChristian Plagemann, Sebastian Mischke, Sam Prentice, Kristian Kersting, Nicholas Roy, Wolfram Burgard. jfr, 26(10):789-811, 2009. [doi]

Learning gas distribution models using sparse Gaussian process mixturesCyrill Stachniss, Christian Plagemann, Achim J. Lilienthal. arobots, 26(2-3):187-202, 2009. [doi]

Learning Kinematic Models for Articulated ObjectsJÃ¼rgen Sturm, Vijay Pradeep, Cyrill Stachniss, Christian Plagemann, Kurt Konolige, Wolfram Burgard. IJCAI 2009: 1851-1856 [doi]

2008

Estimating landmark locations from geo-referenced photographsHenrik Kretzschmar, Cyrill Stachniss, Christian Plagemann, Wolfram Burgard. iros 2008: 2902-2907 [doi]

Classifying Dynamic Objects: An Unsupervised Learning ApproachMatthias Luber, Kai Oliver Arras, Christian Plagemann, Wolfram Burgard. rss 2009: [doi]

Gaussian mixture models for probabilistic localizationPatrick Pfaff, Christian Plagemann, Wolfram Burgard. icra 2008: 467-472 [doi]

Efficiently learning high-dimensional observation models for Monte-Carlo localization using Gaussian mixturesPatrick Pfaff, Cyrill Stachniss, Christian Plagemann, Wolfram Burgard. iros 2008: 3539-3544 [doi]

Gaussian processes for flexible robot learningChristian Plagemann. PhD thesis, University of Freiburg, 2008. [doi]

Nonstationary Gaussian Process Regression Using Point Estimates of Local SmoothnessChristian Plagemann, Kristian Kersting, Wolfram Burgard. pkdd 2008: 204-219 [doi]

Learning predictive terrain models for legged robot locomotionChristian Plagemann, Sebastian Mischke, Sam Prentice, Kristian Kersting, Nicholas Roy, Wolfram Burgard. iros 2008: 3545-3552 [doi]

Monocular range sensing: A non-parametric learning approachChristian Plagemann, Felix Endres, Juergen Michael Hess, Cyrill Stachniss, Wolfram Burgard. icra 2008: 929-934 [doi]

Gas Distribution Modeling using Sparse Gaussian Process Mixture ModelsCyrill Stachniss, Christian Plagemann, Achim J. Lilienthal, Wolfram Burgard. rss 2009: [doi]

Unsupervised body scheme learning through self-perceptionJürgen Sturm, Christian Plagemann, Wolfram Burgard. icra 2008: 3328-3333 [doi]

Adaptive Body Scheme Models for Robust Robotic ManipulationJürgen Sturm, Christian Plagemann, Wolfram Burgard. rss 2009: [doi]

2007

Look-Ahead Proposals for Robust Grid-Based SLAMSlawomir Grzonka, Christian Plagemann, Giorgio Grisetti, Wolfram Burgard. fsr 2008: 329-338 [doi]

Most likely heteroscedastic Gaussian process regressionKristian Kersting, Christian Plagemann, Patrick Pfaff, Wolfram Burgard. icml 2007: 393-400 [doi]

Learning to transfer optimal navigation policiesKristian Kersting, Christian Plagemann, Alexandru Cocora, Wolfram Burgard, Luc De Raedt. ar, 21(13):1565-1582, 2007. [doi]

Adaptive Non-Stationary Kernel Regression for Terrain ModelingTobias Lang, Christian Plagemann, Wolfram Burgard. rss 2008: [doi]

A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent SystemsDaniel Meyer-Delius, Christian Plagemann, Georg von Wichert, Wendelin Feiten, Gisbert Lawitzky, Wolfram Burgard. gfkl 2008: 269-276 [doi]

Improved likelihood models for probabilistic localization based on range scansPatrick Pfaff, Christian Plagemann, Wolfram Burgard. iros 2007: 2192-2197 [doi]

Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process ProposalsChristian Plagemann, Dieter Fox, Wolfram Burgard. IJCAI 2007: 2185-2190 [doi]

Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range FindersChristian Plagemann, Kristian Kersting, Patrick Pfaff, Wolfram Burgard. rss 2008: [doi]

Autonomous blimp control using model-free reinforcement learning in a continuous state and action spaceAxel Rottmann, Christian Plagemann, Peter Hilgers, Wolfram Burgard. iros 2007: 1895-1900 [doi]

2006

2005

Sequential Parameter Estimation for Fault Diagnosis in Mobile Robots Using Particle FiltersChristian Plagemann, Wolfram Burgard. ams 2006: 197-202 [doi]

Vision-Based 3D Object Localization Using Probabilistic Models of AppearanceChristian Plagemann, Thomas Müller, Wolfram Burgard. dagm 2005: 184-191 [doi]

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