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Uwe D. Hanebeck
2010 – today
- 2013
[j14]Jörg Fischer, Marc Reinhardt, Uwe D. Hanebeck: Optimal Sequence-Based Control and Estimation of Networked Linear Systems. Automatisierungstechnik 61(7): 467-476 (2013)
[i11]Marcus Baum, Uwe D. Hanebeck: Extended Object Tracking with Random Hypersurface Models. CoRR abs/1304.5084 (2013)
[i10]Gerhard Kurz, Igor Gilitschenski, Simon Julier, Uwe D. Hanebeck: Recursive Estimation of Orientation Based on the Bingham Distribution. CoRR abs/1304.8019 (2013)- 2012
[j13]Marc Peter Deisenroth, Ryan D. Turner, Marco F. Huber, Uwe D. Hanebeck, Carl Edward Rasmussen: Robust Filtering and Smoothing with Gaussian Processes. IEEE Trans. Automat. Contr. 57(7): 1865-1871 (2012)
[c120]Achim Hekler, Jörg Fischer, Uwe D. Hanebeck: Sequence-based control for networked control systems based on virtual control inputs. CDC 2012: 7-13
[c119]Christof Chlebek, Achim Hekler, Uwe D. Hanebeck: Stochastic nonlinear model predictive control based on progressive density simplification. CDC 2012: 2619-2624
[c118]Benjamin Noack, Florian Pfaff, Uwe D. Hanebeck: Optimal Kalman gains for combined stochastic and set-membership state estimation. CDC 2012: 4035-4040
[c117]Marcus Baum, Patrick Ruoff, Dominik Itte, Uwe D. Hanebeck: Optimal point estimates for multi-target states based on kernel distances. CDC 2012: 4764-4769
[c116]Marc Reinhardt, Benjamin Noack, Uwe D. Hanebeck: Decentralized control based on globally optimal estimation. CDC 2012: 6247-6252
[c115]Igor Gilitschenski, Uwe D. Hanebeck: A robust computational test for overlap of two arbitrary-dimensional ellipsoids in fault-detection of Kalman filters. FUSION 2012: 396-401
[c114]Florian Faion, Patrick Ruoff, Antonio Zea, Uwe D. Hanebeck: Recursive Bayesian calibration of depth sensors with non-overlapping views. FUSION 2012: 757-762
[c113]Marcus Baum, Peter Willett, Uwe D. Hanebeck: Calculating some exact MMOSPA estimates for particle distributions. FUSION 2012: 847-853
[c112]Marc Reinhardt, Benjamin Noack, Uwe D. Hanebeck: On optimal distributed Kalman filtering in non-ideal situations. FUSION 2012: 1020-1027
[c111]Benjamin Noack, Florian Pfaff, Uwe D. Hanebeck: Combined stochastic and set-membership information filtering in multisensor systems. FUSION 2012: 1218-1224
[c110]Achim Hekler, Jörg Fischer, Uwe D. Hanebeck: Control over unreliable networks based on control input densities. FUSION 2012: 1277-1283
[c109]Ferdinand Packi, Uwe D. Hanebeck: Robust NLOS discrimination for range-based acoustic pose tracking. FUSION 2012: 1601-1608
[c108]Uwe D. Hanebeck, Jannik Steinbring: Progressive Gaussian filtering based on Dirac Mixture approximations. FUSION 2012: 1697-1704
[c107]Marc Reinhardt, Benjamin Noack, Uwe D. Hanebeck: Closed-form optimization of covariance intersection for low-dimensional matrices. FUSION 2012: 1891-1896
[c106]Jörg Fischer, Achim Hekler, Uwe D. Hanebeck: State estimation in Networked Control Systems. FUSION 2012: 1947-1954
[c105]Florian Faion, Marcus Baum, Uwe D. Hanebeck: Tracking 3D shapes in noisy point clouds with Random Hypersurface Models. FUSION 2012: 2230-2235
[c104]Marcus Baum, Florian Faion, Uwe D. Hanebeck: Modeling the target extent with multiplicative noise. FUSION 2012: 2406-2412
[c103]Florian Faion, Simon Friedberger, Antonio Zea, Uwe D. Hanebeck: Intelligent sensor-scheduling for multi-kinect-tracking. IROS 2012: 3993-3999
[i9]Marc Peter Deisenroth, Ryan D. Turner, Marco F. Huber, Uwe D. Hanebeck, Carl Edward Rasmussen: Robust Filtering and Smoothing with Gaussian Processes. CoRR abs/1203.4345 (2012)
[i8]
[i7]Achim Hekler, Jörg Fischer, Uwe D. Hanebeck: Sequence-Based Control for Networked Control Systems Based on Virtual Control Inputs. CoRR abs/1206.0549 (2012)
[i6]Jörg Fischer, Achim Hekler, Maxim Dolgov, Uwe D. Hanebeck: Optimal Sequence-Based LQG Control over TCP-like Networks Subject to Random Transmission Delays and Packet Losses. CoRR abs/1211.3020 (2012)
[i5]Jörg Fischer, Marc Reinhardt, Uwe D. Hanebeck: Optimal Sequence-Based Control and Estimation of Networked Linear Systems. CoRR abs/1211.5086 (2012)
[i4]Marcus Baum, Uwe D. Hanebeck: The Kernel-SME Filter for Multiple Target Tracking. CoRR abs/1212.5882 (2012)- 2011
[j12]Evgeniya Bogatyrenko, Pascal Pompey, Uwe D. Hanebeck: Efficient physics-based tracking of heart surface motion for beating heart surgery robotic systems. Int. J. Computer Assisted Radiology and Surgery 6(3): 387-399 (2011)
[c102]Jan-P. Calliess, Daniel Lyons, Uwe D. Hanebeck: Lazy Auctions for Multi-robot Collision Avoidance and Motion Control under Uncertainty. AAMAS Workshops 2011: 295-312
[c101]Marcus Baum, Benjamin Noack, Uwe D. Hanebeck: Mixture Random Hypersurface Models for tracking multiple extended objects. CDC-ECE 2011: 3166-3171
[c100]Achim Hekler, Martin Kiefel, Uwe D. Hanebeck: Stochastic nonlinear open-loop feedback control with guaranteed error bounds using compactly supported wavelets. CDC-ECE 2011: 7697-7702
[c99]Johannes Schmid, Frederik Beutler, Benjamin Noack, Uwe D. Hanebeck, Klaus D. Müller-Glaser: An Experimental Evaluation of Position Estimation Methods for Person Localization in Wireless Sensor Networks. EWSN 2011: 147-162
[c98]Marcus Baum, Uwe D. Hanebeck: Shape tracking of extended objects and group targets with star-convex RHMs. FUSION 2011: 1-8
[c97]Marcus Baum, Uwe D. Hanebeck: Using symmetric state transformations for multi-target tracking. FUSION 2011: 1-8
[c96]Marcus Baum, Benjamin Noack, Frederik Beutler, Dominik Itte, Uwe D. Hanebeck: Optimal Gaussian filtering for polynomial systems applied to association-free multi-target tracking. FUSION 2011: 1-8
[c95]Evgeniya Bogatyrenko, Uwe D. Hanebeck: Adaptive model-based visual stabilization of image sequences using feedback. FUSION 2011: 1-8
[c94]Peter Krauthausen, Patrick Ruoff, Uwe D. Hanebeck: Sparse mixture conditional density estimation by superficial regularization. FUSION 2011: 1-8
[c93]Benjamin Noack, Marcus Baum, Uwe D. Hanebeck: Covariance intersection in nonlinear estimation based on pseudo Gaussian densities. FUSION 2011: 1-8
[c92]Marc Reinhardt, Benjamin Noack, Marcus Baum, Uwe D. Hanebeck: Analysis of set-theoretic and stochastic models for fusion under unknown correlations. FUSION 2011: 1-8
[c91]Patrick Ruoff, Peter Krauthausen, Uwe D. Hanebeck: Progressive correction for deterministic Dirac mixture approximations. FUSION 2011: 1-8
[c90]Antonia Pérez Arias, Henning P. Eberhardt, Florian Pfaff, Uwe D. Hanebeck: The plenhaptic guidance function for intuitive navigation in extended range telepresence scenarios. World Haptics 2011: 475-480
[c89]Lukas Rybok, Simon Friedberger, Uwe D. Hanebeck, Rainer Stiefelhagen: The KIT Robo-kitchen data set for the evaluation of view-based activity recognition systems. Humanoids 2011: 128-133
[c88]Tobias Kretz, Stefan Hengst, Vidal Roca, Antonia Pérez Arias, Simon Friedberger, Uwe D. Hanebeck: Calibrating dynamic pedestrian route choice with an Extended Range Telepresence System. ICCV Workshops 2011: 166-172
[c87]Marcus Baum, Uwe D. Hanebeck: Fitting conics to noisy data using stochastic linearization. IROS 2011: 2050-2055
[c86]Antonia Pérez Arias, Uwe D. Hanebeck: Motion control of a semi-mobile haptic interface for extended range telepresence. IROS 2011: 3053-3059
[c85]Dirk Gehrig, Peter Krauthausen, Lukas Rybok, Hildegard Kuehne, Uwe D. Hanebeck, Tanja Schultz, Rainer Stiefelhagen: Combined intention, activity, and motion recognition for a humanoid household robot. IROS 2011: 4819-4825
[i3]Daniel Lyons, Jan-P. Calliess, Uwe D. Hanebeck: Chance-constrained Model Predictive Control for Multi-Agent Systems. CoRR abs/1104.5384 (2011)
[i2]Tobias Kretz, Stefan Hengst, Antonia Pérez Arias, Simon Friedberger, Uwe D. Hanebeck: Using a Telepresence System to Investigate Route Choice Behavior. CoRR abs/1111.1103 (2011)- 2010
[c84]Achim Hekler, Daniel Lyons, Benjamin Noack, Uwe D. Hanebeck: Nonlinear Model Predictive Control Considering Stochastic and Systematic Uncertainties with Sets of Densities. CCA 2010: 1337-1342
[c83]Achim Hekler, Martin Kiefel, Uwe D. Hanebeck: Nonlinear Bayesian estimation with compactly supported wavelets. CDC 2010: 5701-5706
[c82]Marcus Baum, Vesa Klumpp, Uwe D. Hanebeck: A novel Bayesian method for fitting a circle to noisy points. FUSION 2010: 1-6
[c81]Marcus Baum, Benjamin Noack, Uwe D. Hanebeck: Extended object and group tracking with Elliptic Random Hypersurface Models. FUSION 2010: 1-8
[c80]Frederik Beutler, Uwe D. Hanebeck: A two-step approach for offset and position estimation from pseudo-ranges applied to multilateration tracking. FUSION 2010: 1-8
[c79]Patrick Dunau, Ferdinand Packi, Frederik Beutler, Uwe D. Hanebeck: Efficient multilateration tracking with concurrent offset estimation using stochastic filtering techniques. FUSION 2010: 1-8
[c78]Henning P. Eberhardt, Vesa Klumpp, Uwe D. Hanebeck: Density trees for efficient nonlinear state estimation. FUSION 2010: 1-8
[c77]Vesa Klumpp, Frederik Beutler, Uwe D. Hanebeck, Dietrich Fränken: The Sliced Gaussian Mixture Filter with adaptive state decomposition depending on linearization error. FUSION 2010: 1-8
[c76]Vesa Klumpp, Benjamin Noack, Marcus Baum, Uwe D. Hanebeck: Combined set-theoretic and stochastic estimation: A comparison of the SSI and the CS filter. FUSION 2010: 1-8
[c75]Peter Krauthausen, Marco F. Huber, Uwe D. Hanebeck: Support-vector conditional density estimation for nonlinear filtering. FUSION 2010: 1-8
[c74]Benjamin Noack, Vesa Klumpp, Nikolay Petkov, Uwe D. Hanebeck: Bounding linearization errors with sets of densities in approximate Kalman filtering. FUSION 2010: 1-8
[c73]Marcus Baum, Michael Feldmann, Dietrich Fraenken, Uwe D. Hanebeck, Wolfgang Koch: Extended Object and Group Tracking: A Comparison of Random Matrices and Random Hypersurface Models. GI Jahrestagung (2) 2010: 904-906
[c72]Evgeniya Bogatyrenko, Benjamin Noack, Uwe D. Hanebeck: Reliable estimation of heart surface motion under stochastic and unknown but bounded systematic uncertainties. IROS 2010: 1862-1869
[c71]Peter Krauthausen, Uwe D. Hanebeck: A model-predictive switching approach to efficient intention recognition. IROS 2010: 4908-4913
[c70]Ferdinand Packi, Antonia Pérez Arias, Frederik Beutler, Uwe D. Hanebeck: A wearable system for the wireless experience of extended range telepresence. IROS 2010: 5226-5231
[c69]Frederik Beutler, Marco F. Huber, Uwe D. Hanebeck: Optimal stochastic linearization for range-based localization. IROS 2010: 5731-5736
[c68]Antonia Pérez Arias, Uwe D. Hanebeck: Wide-area haptic guidance: Taking the user by the hand. IROS 2010: 5824-5829
[c67]Peter Krauthausen, Uwe D. Hanebeck: Situation-Specific Intention Recognition for Human-Robot Cooperation. KI 2010: 418-425
[c66]Daniel Lyons, Benjamin Noack, Uwe D. Hanebeck: A Log-Ratio Information Measure for Stochastic Sensor Management. SUTC/UMC 2010: 276-283
[c65]Ioana Gheta, Marcus Baum, Andrey Belkin, Jürgen Beyerer, Uwe D. Hanebeck: Three pillar information management system for modeling the environment of autonomous systems. VECIMS 2010: 12-17
[e3]Rüdiger Dillmann, Jürgen Beyerer, Uwe D. Hanebeck, Tanja Schultz (Eds.): KI 2010: Advances in Artificial Intelligence, 33rd Annual German Conference on AI, Karlsruhe, Germany, September 21-24, 2010. Proceedings. Lecture Notes in Computer Science 6359, Springer 2010, ISBN 978-3-642-16110-0
[i1]Antonia Pérez Arias, Uwe D. Hanebeck, Peter Ehrhardt, Stefan Hengst, Tobias Kretz, Peter Vortisch: Extended Range Telepresence for Evacuation Training in Pedestrian Simulations. CoRR abs/1002.3770 (2010)
2000 – 2009
- 2009
[j11]
[j10]Frederik Beutler, Marco F. Huber, Uwe D. Hanebeck: Probabilistic instantaneous model-based signal processing applied to localization and tracking. Robotics and Autonomous Systems 57(3): 249-258 (2009)
[c64]Andreas Rauh, Kai Briechle, Uwe D. Hanebeck: Nonlinear measurement update and prediction: Prior Density Splitting Mixture Estimator. CCA/ISIC 2009: 1421-1426
[c63]Uwe D. Hanebeck, Marco F. Huber, Vesa Klumpp: Dirac mixture approximation of multivariate Gaussian densities. CDC 2009: 3851-3858
[c62]Marco F. Huber, Achim Kuwertz, Felix Sawo, Uwe D. Hanebeck: Distributed greedy sensor scheduling for model-based reconstruction of space-time continuous physical phenomena. FUSION 2009: 102-109
[c61]Peter Krauthausen, Uwe D. Hanebeck: Intention recognition for partial-order plans using Dynamic Bayesian Networks. FUSION 2009: 444-451
[c60]Frederik Beutler, Marco F. Huber, Uwe D. Hanebeck: Gaussian Filtering using state decomposition methods. FUSION 2009: 579-586
[c59]Julian Hörst, Felix Sawo, Vesa Klumpp, Uwe D. Hanebeck, Dietrich Fränken: Extension of the Sliced Gaussian Mixture Filter with application to cooperative passive target tracking. FUSION 2009: 587-594
[c58]Marcus Baum, Uwe D. Hanebeck: Extended object tracking based on combined set-theoretic and stochastic fusion. FUSION 2009: 1288-1295
[c57]Benjamin Noack, Vesa Klumpp, Uwe D. Hanebeck: State estimation with sets of densities considering stochastic and systematic errors. FUSION 2009: 1751-1758
[c56]Vesa Klumpp, Uwe D. Hanebeck: Bayesian estimation with uncertain parameters of probability density functions. FUSION 2009: 1759-1766
[c55]Vesa Klumpp, Uwe D. Hanebeck: Nonlinear fusion of multi-dimensional densities in joint state space. FUSION 2009: 2044-2051
[c54]Marcus Baum, Uwe D. Hanebeck: Tracking an Extended Object Modeled as an Axis-Aligned Rectangle. GI Jahrestagung 2009: 2422-2427
[c53]Frederik Beutler, Marco F. Huber, Uwe D. Hanebeck: Instantaneous pose estimation using rotation vectors. ICASSP 2009: 3413-3416
[c52]Antonia Pérez Arias, Uwe D. Hanebeck: A Novel Haptic Interface for Extended Range Telepresence - Control and Evaluation. ICINCO-RA 2009: 222-227
[c51]Marc Peter Deisenroth, Marco F. Huber, Uwe D. Hanebeck: Analytic moment-based Gaussian process filtering. ICML 2009: 29
[c50]Evgeniya Bogatyrenko, Uwe D. Hanebeck, Gábor Szabó: Heart surface motion estimation framework for robotic surgery employing meshless methods. IROS 2009: 67-74- 2008
[c49]
[c48]Marco F. Huber, Uwe D. Hanebeck: Priority list sensor scheduling using optimal pruning. FUSION 2008: 1-8
[c47]Vesa Klumpp, Felix Sawo, Uwe D. Hanebeck, Dietrich Fränken: The sliced Gaussian mixture filter for efficient nonlinear estimation. FUSION 2008: 1-8
[c46]Benjamin Noack, Vesa Klumpp, Dietrich Brunn, Uwe D. Hanebeck: Nonlinear Bayesian estimation with convex sets of probability densities. FUSION 2008: 1-8
[c45]Felix Sawo, Vesa Klumpp, Uwe D. Hanebeck: Simultaneous state and parameter estimation of distributed-parameter physical systems based on sliced Gaussian mixture filter. FUSION 2008: 1-8
[c44]Hui Wang, Andrei Szabo, Joachim Bamberger, Dietrich Brunn, Uwe D. Hanebeck: Performance comparison of nonlinear filters for indoor WLAN positioning. FUSION 2008: 1-7- 2007
[c43]Anne Hanselmann, Oliver C. Schrempf, Uwe D. Hanebeck: Optimal parametric density estimation by minimizing an analytic distance measure. FUSION 2007: 1-8
[c42]Marco F. Huber, Uwe D. Hanebeck: The hybrid density filter for nonlinear estimation based on hybrid conditional density approximation. FUSION 2007: 1-8
[c41]Felix Sawo, Marco F. Huber, Uwe D. Hanebeck: Parameter identification and reconstruction for distributed phenomena based on hybrid density filter. FUSION 2007: 1-8
[c40]Marco F. Huber, Eric Stiegeler, Uwe D. Hanebeck: On Sensor Scheduling in Case of Unreliable Communication. GI Jahrestagung (2) 2007: 90-94
[c39]Hui Wang, Henning Lenz, Andrei Szabo, Joachim Bamberger, Uwe D. Hanebeck: Enhancing the Map Usage for Indoor Location-Aware Systems. HCI (2) 2007: 151-160
[c38]Oliver C. Schrempf, Uwe D. Hanebeck: A state estimator for nonlinear stochastic systems based on dirac mixture approximations. ICINCO-SPSMC 2007: 54-61
[c37]Florian Weissel, Marco F. Huber, Uwe D. Hanebeck: A closed-form model predictive control framework for nonlinear noise-corrupted systems. ICINCO-SPSMC 2007: 62-69
[c36]Thomas Bader, Alexander Wiedemann, Kathrin Roberts, Uwe D. Hanebeck: Model-based Motion Estimation of Elastic Surfaces for Minimally Invasive Cardiac Surgery. ICRA 2007: 2261-2266
[c35]Marco F. Huber, Uwe D. Hanebeck: Hybrid transition density approximation for efficient recursive prediction of nonlinear dynamic systems. IPSN 2007: 283-292
[c34]Oliver C. Schrempf, David Albrecht, Uwe D. Hanebeck: Tractable probabilistic models for intention recognition based on expert knowledge. IROS 2007: 1429-1434
[c33]Florian Weissel, Marco F. Huber, Uwe D. Hanebeck: Test-environment based on a team of miniature walking robots for evaluation of collaborative control methods. IROS 2007: 2474-2479
[c32]Hui Wang, Henning Lenz, Andrei Szabo, Joachim Bamberger, Uwe D. Hanebeck: WLAN-Based Pedestrian Tracking Using Particle Filters and Low-Cost MEMS Sensors. WPNC 2007: 1-7- 2006
[c31]Vesa Klumpp, Dietrich Brunn, Uwe D. Hanebeck: Approximate Nonlinear Bayesian Estimation Based on Lower and Upper Densities. FUSION 2006: 1-8
[c30]Felix Sawo, Dietrich Brunn, Uwe D. Hanebeck: Parameterized Joint Densities with Gaussian and Gaussian Mixture Marginals. FUSION 2006: 1-8
[c29]Oliver C. Schrempf, Anne Hanselmann, Uwe D. Hanebeck: Efficient Representation and Fusion of Hybrid Joint Densities for Clusters in Nonlinear Hybrid Bayesian Networks. FUSION 2006: 1-8
[c28]Felix Sawo, Kathrin Roberts, Uwe D. Hanebeck: Bayesian estimation of distributed phenomena using discretized representations of partial differential equations. ICINCO-SPSMC 2006: 16-23
[c27]Patrick Rößler, Timothy C. Armstrong, Oliver Hessel, Michael Mende, Uwe D. Hanebeck: A novel haptic interface for free locomotion in extended range telepresence scenarios. ICINCO-RA 2006: 148-153
[c26]Patrick Rößler, Uwe D. Hanebeck: Simultaneous Motion Compression for Multi-User Extended Range Telepresence. IROS 2006: 5189-5194
[e2]Leonidas J. Guibas, Uwe D. Hanebeck, Thomas C. Henderson (Eds.): Form and Content in Sensor Networks, 18.09. - 23.09.2005. Dagstuhl Seminar Proceedings 05381, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2006- 2005
[j9]Uwe D. Hanebeck, Hartwig U. Steusloff: Datenfusion in der Automatisierungstechnik. Automatisierungstechnik 53(7): 293-294 (2005)
[j8]Marian Grigoras, Olga Feiermann, Uwe D. Hanebeck: Data-Driven Modeling of Signal Strength Distributions for Localization in Cellular Radio Networks (Datengetriebene Modellierung von Feldstärkeverteilungen für die Ortung in zellulären Funknetzen). Automatisierungstechnik 53(7): 314-321 (2005)
[j7]Kai Briechle, Uwe D. Hanebeck: Lokalisierung mittels mengenbasierter nichtlinearer Filterung im Hyperraum (Localization Using Set-theoretic Nonlinear Filtering Methods). Automatisierungstechnik 53(9): 415-424 (2005)
[c25]Kathrin Roberts, Gábor Szabó, Uwe D. Hanebeck: Sensorgestützte Bewegungssynchronisation von Operationsinstrumenten am schlagenden Herzen. AMS 2005: 269-275
[c24]Leonidas J. Guibas, Uwe D. Hanebeck, Thomas C. Henderson: 05381 Executive Summary -- Form and Content in Sensor Networks. Form and Content in Sensor Networks 2005
[c23]Leonidas J. Guibas, Uwe D. Hanebeck, Thomas C. Henderson: 05381 Abstracts Collection -- Form and Content in Sensor Networks. Form and Content in Sensor Networks 2005
[c22]Daniel Hahn, Frederik Beutler, Uwe D. Hanebeck: Visual scene augmentation for enhanced human perception. ICINCO 2005: 146-153
[c21]Patrick Rößler, Frederik Beutler, Uwe D. Hanebeck: A framework for telepresent game-play in large virtual environments. ICINCO 2005: 150-155
[c20]Oliver C. Schrempf, Uwe D. Hanebeck: A generic model for estimating user intentions in human-robot cooperation. ICINCO 2005: 251-256
[c19]Dietrich Brunn, Uwe D. Hanebeck: A Model-Based Framework for Optimal Measurements in Machine Tool Calibration. ICRA 2005: 1407-1412
[c18]Henning Groenda, Fabian Nowak, Patrick Rößler, Uwe D. Hanebeck: Telepresence Techniques for Controlling Avatar Motion in First Person Games. INTETAIN 2005: 44-53
[c17]Patrick Rößler, Frederik Beutler, Uwe D. Hanebeck, Norbert Nitzsche: Motion compression applied to guidance of a mobile teleoperator. IROS 2005: 2887-2892- 2004
[j6]Norbert Nitzsche, Uwe D. Hanebeck, Günther Schmidt: Motion Compression for Telepresent Walking in Large Target Environments. Presence 13(1): 44-60 (2004)
[j5]Kai Briechle, Uwe D. Hanebeck: Localization of a mobile robot using relative bearing measurements. IEEE Transactions on Robotics 20(1): 36-44 (2004)
[c16]Patrick Rößler, Uwe D. Hanebeck: Telepresence techniques for exception handling in household robots. SMC (1) 2004: 53-58- 2003
[j4]Norbert Nitzsche, Uwe D. Hanebeck, Günther Schmidt: Design issues of mobile haptic interfaces. J. Field Robotics 20(9) (2003)
[c15]Patrick Rößler, Uwe D. Hanebeck, Marian Grigoras, Paul Pilgram, Joachim Bamberger, Clemens Hoffmann: Automatische Kartographierung der Signalcharakteristik in Funknetzwerken. AMS 2003: 203-213- 2002
[c14]Oliver Lorch, Javier F. Seara, Klaus H. Strobl, Uwe D. Hanebeck, Günther Schmidt: Perception Errors in Vision Guided Walking: Analysis, Modeling, and Filtering. ICRA 2002: 2048-2053- 2000
[j3]Uwe D. Hanebeck, Joachim Horn: Fusing Information Simultaneously Corrupted by Uncertainties with Known Bounds and Random Noise with Known Distribution. Information Fusion 1(1): 55-63 (2000)
[c13]Kai Briechle, Uwe D. Hanebeck: Ein Zwei-Kartne-Verfahren zur gleichzeitigen Kartographierung und Lokalisierung. AMS 2000: 165-174
[e1]Günther Schmidt, Uwe D. Hanebeck, Franz Freyberger (Eds.): Autonome Mobile Systeme 1999, 15. Fachgespräch, München, 26.-27. November 1999. Informatik Aktuell, Springer 2000, ISBN 3-540-66732-6
1990 – 1999
- 1999
[j2]Uwe D. Hanebeck, Joachim Horn, Günther Schmidt: On combining statistical and set-theoretic estimation. Automatica 35(6): 1101-1109 (1999)
[c12]Kai Briechle, Uwe D. Hanebeck: Simultane Lokalisierung und Kartenaufbau für einen mobilen Serviceroboter. AMS 1999: 200-210
[c11]Uwe D. Hanebeck, Joachim Horn, Cyril Drocourt, Laurent Delahoche, Claude Pégard, Arnaud Clerentin: A New Estimator for Mixed Stochastic and Set Theoretic Uncertainty Models Applied to Mobile Robot Localization. ICRA 1999: 1335-1340
[c10]Uwe D. Hanebeck, Nihad Saldic, Günther Schmidt: A modular wheel system for mobile robot applications. IROS 1999: 17-22
[c9]Uwe D. Hanebeck, Joachim Horn: State estimation based on observations simultaneously corrupted by random noise with known distribution and uncertainties with known bounds. IROS 1999: 665-670- 1998
[j1]E. Ettelt, Ralf Furtwängler, Uwe D. Hanebeck, Günther Schmidt: Design Issues of a Semi-Autonomous Robotic Assistant for the Health Care Environment. Journal of Intelligent and Robotic Systems 22(3-4): 191-209 (1998)
[c8]Ralf Furtwängler, Uwe D. Hanebeck, Günther Schmidt: Dynamische Bänder zur Bewegungsplanung für mobile Manipulatoren. AMS 1998: 164-171
[c7]- 1997
[c6]Uwe D. Hanebeck, Christian Fischer, Günther Schmidt: ROMAN: a mobile robotic assistant for indoor service applications. IROS 1997: 518-525
[c5]Uwe D. Hanebeck, Günther Schmidt: Mobile Robot Localization Based on Efficient Processing of Sensor Data and Set-theoretic State Estimation. ISER 1997: 385-396- 1996
[c4]W. Daxwanger, E. Ettelt, Christian Fischer, Franz Freyberger, Uwe D. Hanebeck, Günther Schmidt: ROMAN: Ein Service-Roboter als persänlicher Assistent in belebten Innenräumen. AMS 1996: 314-333
[c3]Uwe D. Hanebeck, Günther Schmidt: Set theoretic localization of fast mobile robots using an angle measurement technique. ICRA 1996: 1387-1394
[c2]Uwe D. Hanebeck, Joachim Horn, Günther Schmidt: On combining set theoretic and Bayesian estimation. ICRA 1996: 3081-3086- 1995
[c1]Uwe D. Hanebeck, Günther Schmidt: Schnelle Objektdetektion mit Ultraschallsensor-Arrays. AMS 1995: 162-171
Coauthor Index
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last updated on 2013-10-02 11:13 CEST by the dblp team



