Uwe D. Hanebeck

发表

Deterministic Sampling on the Torus for Bivariate Circular Estimation

Gerhard Kurz, Uwe D. Hanebeck, U. Hanebeck, 2017, IEEE Transactions on Aerospace and Electronic Systems.

Commentary to: TDOA versus ATDOA for wide area multilateration system

Uwe D. Hanebeck, Daniel Frisch, 2020, EURASIP J. Wirel. Commun. Netw..

Recursive Bayesian pose and shape estimation of 3D objects using transformed plane curves

Uwe D. Hanebeck, Florian Faion, Antonio Zea, 2015, 2015 Sensor Data Fusion: Trends, Solutions, Applications (SDF).

Instantaneous pose estimation using rotation vectors

Uwe D. Hanebeck, Frederik Beutler, Marco F. Huber, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

High-Accuracy Real-Time Whole-Body Human Motion Tracking Based on Constrained Nonlinear Kalman Filtering pdf

Uwe D. Hanebeck, Tamim Asfour, Jannik Steinbring, 2015, ArXiv.

Closed-form range-based posture estimation based on decoupling translation and orientation

Uwe D. Hanebeck, Frederik Beutler, U. Hanebeck, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Shape tracking of extended objects and group targets with star-convex RHMs

Uwe D. Hanebeck, Marcus Baum, U. Hanebeck, 2011, 14th International Conference on Information Fusion.

Stochastic nonlinear open-loop feedback control with guaranteed error bounds using compactly supported wavelets

Uwe D. Hanebeck, Achim Hekler, Martin Kiefel, 2011, IEEE Conference on Decision and Control and European Control Conference.

Stochastic sampling of the hyperspherical von mises–fisher distribution without rejection methods

Gerhard Kurz, Uwe D. Hanebeck, U. Hanebeck, 2015, 2015 Sensor Data Fusion: Trends, Solutions, Applications (SDF).

Nonlinear set-theoretic localization of cellular phones

Uwe D. Hanebeck, Joachim Horn, Konrad Riegel, 2003, SPIE Defense + Commercial Sensing.

Tracking 3D shapes in noisy point clouds with Random Hypersurface Models

Uwe D. Hanebeck, Florian Faion, Marcus Baum, 2012, 2012 15th International Conference on Information Fusion.

Linear regression Kalman filtering based on hyperspherical deterministic sampling

Gerhard Kurz, Uwe D. Hanebeck, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

A Control Approach for Cooperative Sharing of Network Resources in Cyber-Physical Systems

Uwe D. Hanebeck, Florian Rosenthal, U. Hanebeck, 2019, 2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS).

Fourier Filters, Grid Filters, and the Fourier-Interpreted Grid Filter

Uwe D. Hanebeck, Florian Pfaff, Kailai Li, 2019, 2019 22th International Conference on Information Fusion (FUSION).

PGF 42: Progressive Gaussian filtering with a twist

Uwe D. Hanebeck, U. Hanebeck, 2013, Proceedings of the 16th International Conference on Information Fusion.

Nonlinear Model Predictive Control considering stochastic and systematic uncertainties with sets of densities

Daniel Lyons, Uwe D. Hanebeck, Benjamin Noack, 2010, 2010 IEEE International Conference on Control Applications.

Extended Object Tracking Based on Set-Theoretic and Stochastic Fusion

Uwe D. Hanebeck, Marcus Baum, 2012, IEEE Transactions on Aerospace and Electronic Systems.

Nonlinear measurement update and prediction: Prior Density Splitting Mixture Estimator

Uwe D. Hanebeck, Andreas Rauh, Kai Briechle, 2009, 2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC).

Sample set design for nonlinear Kalman filters viewed as a moment problem

Uwe D. Hanebeck, 2014, 17th International Conference on Information Fusion (FUSION).

05381 Executive Summary -- Form and Content in Sensor Networks

Leonidas J. Guibas, Thomas C. Henderson, Uwe D. Hanebeck, 2005, Form and Content in Sensor Networks.

A novel approach to proactive human-robot cooperation

Heinz Wörn, Uwe D. Hanebeck, Oliver C. Schrempf, 2005, ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005..

Modellbasierte Quellenverfolgung in räumlich ausgedehnten Phänomenen mittels Sensoreinsatzplanung

Uwe D. Hanebeck, Marco F. Huber, Achim Kuwertz, 2010 .

Support-vector conditional density estimation for nonlinear filtering

Uwe D. Hanebeck, Marco F. Huber, Peter Krauthausen, 2010, 2010 13th International Conference on Information Fusion.

Simultane Lokalisierung und Kartenaufbau für einen mobilen Serviceroboter

Uwe D. Hanebeck, Kai Briechle, 1999, AMS.

Template matching using fast normalized cross correlation

Uwe D. Hanebeck, Kai Briechle, U. Hanebeck, 2001, SPIE Defense + Commercial Sensing.

Efficient Deterministic Gibbs Sampling of Multivariate Gaussian Densities

Uwe D. Hanebeck, Daniel R. Frisch, 2020 .

Real-time multitarget tracking for sensor-based sorting

Uwe D. Hanebeck, Harald Kruggel-Emden, Siegmar Wirtz, 2017, Journal of Real-Time Image Processing.

Convex Combination for Source Localization Using Received Signal Strength Measurements

Uwe D. Hanebeck, Qi Wang, Zhansheng Duan, 2018, 2018 21st International Conference on Information Fusion (FUSION).

On stability of sequence-based LQG control

Uwe D. Hanebeck, Jörg Fischer, Maxim Dolgov, 2013, 52nd IEEE Conference on Decision and Control.

Sequence-Based Receding Horizon Control over Networks With Delays and Data Losses

Uwe D. Hanebeck, Florian Rosenthal, Maxim Dolgov, 2019, 2019 American Control Conference (ACC).

Experimental evaluation of kinect and inertial sensors for beating heart tracking

Gerhard Kurz, Uwe D. Hanebeck, Péter Hegedüs, 2013, CURAC.

Genetic optimization of fuzzy networks

Uwe D. Hanebeck, Günther K. Schmidt, U. Hanebeck, 1996, Fuzzy Sets Syst..

Fusion Strategies for Unequal State Vectors in Distributed Kalman Filtering

Uwe D. Hanebeck, Benjamin Noack, Joris Sijs, 2014 .

Directional splitting of Gaussian density in non-linear random variable transformation

Ondrej Straka, Uwe D. Hanebeck, Jannik Steinbring, 2018, IET Signal Process..

Distributed and Networked Model Predictive Control

Jörg Fischer, Olaf Stursberg, Uwe D. Hanebeck, 2014 .

Combined set-theoretic and stochastic estimation: A comparison of the SSI and the CS filter

Uwe D. Hanebeck, Marcus Baum, Benjamin Noack, 2010, 2010 13th International Conference on Information Fusion.

Pipelined sampling techniques for sonar tracking systems

Uwe D. Hanebeck, 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

Intention recognition for partial-order plans using Dynamic Bayesian Networks

Uwe D. Hanebeck, Peter Krauthausen, U. Hanebeck, 2009, 2009 12th International Conference on Information Fusion.

Model-based Motion Estimation of Elastic Surfaces for Minimally Invasive Cardiac Surgery

Uwe D. Hanebeck, Kathrin Roberts, Thomas Bader, 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

Nonlinear measurement update for estimation of angular systems based on circular distributions

Gerhard Kurz, Uwe D. Hanebeck, Igor Gilitschenski, 2014, 2014 American Control Conference.

Encrypted Multisensor Information Filtering

Uwe D. Hanebeck, Jörn Müller-Quade, Benjamin Noack, 2018, 2018 21st International Conference on Information Fusion (FUSION).

The KIT Robo-kitchen data set for the evaluation of view-based activity recognition systems

Uwe D. Hanebeck, Rainer Stiefelhagen, Lukas Rybok, 2011, 2011 11th IEEE-RAS International Conference on Humanoid Robots.

Shape tracking using Partial Information Models

Uwe D. Hanebeck, Florian Faion, Antonio Zea, 2015, 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Enhancing the Map Usage for Indoor Location-Aware Systems

Andrei Szabo, Hui Wang, Uwe D. Hanebeck, 2007, HCI.

Refined Pose Estimation for Square Markers Using Shape Fitting

Uwe D. Hanebeck, Antonio Zea, 2019, 2019 22th International Conference on Information Fusion (FUSION).

State estimation with sets of densities considering stochastic and systematic errors

Uwe D. Hanebeck, Benjamin Noack, Vesa Klumpp, 2009, 2009 12th International Conference on Information Fusion.

Visual scene augmentation for enhanced human perception

Uwe D. Hanebeck, Daniel Hahn, Frederik Beutler, 2005, ICINCO.

Using Extended Range Telepresence to Collect Data on Pedestrian Dynamics

Uwe D. Hanebeck, Tobias Kretz, Simon Friedberger, 2012 .

Simultaneous Motion Compression for Multi-User Extended Range Telepresence

Uwe D. Hanebeck, Patrick Rößler, 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Simultaneous Localization and Mapping Using a Novel Dual Quaternion Particle Filter

Gerhard Kurz, Uwe D. Hanebeck, Kailai Li, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Kullback-Leibler Divergence and moment matching for hyperspherical probability distributions

Gerhard Kurz, Uwe D. Hanebeck, Florian Pfaff, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Association-Free Multilateration Based on Times of Arrival

Uwe D. Hanebeck, Daniel Frisch, U. Hanebeck, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Algebraic analysis of data fusion with ellipsoidal intersection

Uwe D. Hanebeck, Benjamin Noack, Joris Sijs, 2016, 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Lazy auctions for multi-robot collision avoidance and motion control under uncertainty

Daniel Lyons, Uwe D. Hanebeck, Jan-P. Calliess, 2011, AAMAS'11.

Distributed Kalman filtering with reduced transmission rate

Uwe D. Hanebeck, Benjamin Noack, Katharina Dormann, 2017, 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

The Smart Sampling Kalman Filter with Symmetric Samples pdf

Uwe D. Hanebeck, Jannik Steinbring, Martin Pander, 2015, ArXiv.

On combining statistical and set-theoretic estimation

Uwe D. Hanebeck, Günther Schmidt, Joachim Horn, 1999, Autom..

Nonlinear fusion of multi-dimensional densities in joint state space

Uwe D. Hanebeck, Vesa Klumpp, 2009, 2009 12th International Conference on Information Fusion.

Improving optical sorting of bulk materials using sophisticated motion models

Uwe D. Hanebeck, Harald Kruggel-Emden, Siegmar Wirtz, 2016 .

Real-time kernel-based multiple target tracking for robotic beating heart surgery

Gerhard Kurz, Uwe D. Hanebeck, Marcus Baum, 2014, 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM).

Calculating some exact MMOSPA estimates for particle distributions

Uwe D. Hanebeck, Peter Willett, Marcus Baum, 2012, 2012 15th International Conference on Information Fusion.

Performance comparison of nonlinear filters for indoor WLAN positioning

Andrei Szabo, Hui Wang, Uwe D. Hanebeck, 2008, 2008 11th International Conference on Information Fusion.

Robust NLOS discrimination for range-based acoustic pose tracking

Uwe D. Hanebeck, Ferdinand Packi, 2012, 2012 15th International Conference on Information Fusion.

Telepresence Techniques for Controlling Avatar Motion in First Person Games

Uwe D. Hanebeck, Fabian Nowak, Henning Groenda, 2005, INTETAIN.

Selected papers from 2006 IEEE International Conference on Multisensor Fusion and Integration (MFI 2006)

Thomas C. Henderson, Uwe D. Hanebeck, 2009 .

Analysis of set-theoretic and stochastic models for fusion under unknown correlations

Uwe D. Hanebeck, Marcus Baum, Benjamin Noack, 2011, 14th International Conference on Information Fusion.

Sequence-based control for networked control systems based on virtual control inputs

Uwe D. Hanebeck, Achim Hekler, Jörg Fischer, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Image Stabilization with Model-Based Tracking for Beating Heart Surgery

Gerhard Kurz, Uwe D. Hanebeck, 2012, CURAC.

The plenhaptic guidance function for intuitive navigation in extended range telepresence scenarios

Uwe D. Hanebeck, Florian Pfaff, Antonia Pérez Arias, 2011, 2011 IEEE World Haptics Conference.

Exact and approximate hidden Markov chain filters based on discrete observations

Uwe D. Hanebeck, Igor Gilitschenski, Nicole Bäuerle, 2014, ArXiv.

Stochastic nonlinear model predictive control based on progressive density simplification

Uwe D. Hanebeck, Achim Hekler, Christof Chlebek, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Towards Intuitive Human-Robot Cooperation

Heinz Wörn, Uwe D. Hanebeck, Andreas J. Schmid, 2006 .

Infinite-horizon Linear Optimal Control of Markov Jump Systems without Mode Observation via State Feedback pdf

Uwe D. Hanebeck, Maxim Dolgov, 2015, ArXiv.

Density trees for efficient nonlinear state estimation

Uwe D. Hanebeck, Vesa Klumpp, Henning P. Eberhardt, 2010, 2010 13th International Conference on Information Fusion.

Wavefront Orientation Estimation Based on Progressive Bingham Filtering

Uwe D. Hanebeck, Susanne Radtke, Benjamin Noack, 2018, 2018 Sensor Data Fusion: Trends, Solutions, Applications (SDF).

The Kernel-SME filter for multiple target tracking

Uwe D. Hanebeck, Marcus Baum, U. Hanebeck, 2012, Proceedings of the 16th International Conference on Information Fusion.

Digitaltechnik und Entwurfsverfahren, WS 2015/2016, gehalten am 14.12.2015, Vorlesung 13

Uwe D. Hanebeck, 2016 .

A two-step approach for offset and position estimation from pseudo-ranges applied to multilateration tracking

Uwe D. Hanebeck, Frederik Beutler, U. Hanebeck, 2010, 2010 13th International Conference on Information Fusion.

A framework for telepresent game-play in large virtual environments

Uwe D. Hanebeck, Frederik Beutler, Patrick Rößler, 2005, ICINCO.

Feature-Aided Multitarget Tracking for Optical Belt Sorters

Uwe D. Hanebeck, Benjamin Noack, Georg Maier, 2019, 2019 22th International Conference on Information Fusion (FUSION).

Perception errors in vision guided walking: analysis, modeling, and filtering

Uwe D. Hanebeck, Günther Schmidt, Klaus H. Strobl, 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

A new estimator for mixed stochastic and set theoretic uncertainty models applied to mobile robot localization

Laurent Delahoche, Uwe D. Hanebeck, Cyril Drocourt, 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

Bayesian estimation of distributed phenomena using discretized representations of partial differential equations

Uwe D. Hanebeck, Kathrin Roberts, Felix Sawo, 2006, ICINCO-SPSMC.

Efficient deterministic dirac mixture approximation of Gaussian distributions

Uwe D. Hanebeck, Igor Gilitschenski, U. Hanebeck, 2013, 2013 American Control Conference.

Optimal sequence-based LQG control over TCP-like networks subject to random transmission delays and packet losses

Uwe D. Hanebeck, Achim Hekler, Jörg Fischer, 2013, 2013 American Control Conference.

A modular wheel system for mobile robot applications

Uwe D. Hanebeck, Günther Schmidt, Nihad Saldic, 1999, Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289).

The sliced Gaussian mixture filter for efficient nonlinear estimation

Uwe D. Hanebeck, Dietrich Fränken, Vesa Klumpp, 2008, 2008 11th International Conference on Information Fusion.

Mobile haptic interaction with extended real or virtual environments

Uwe D. Hanebeck, Günther Schmidt, Norbert Nitzsche, 2001, Proceedings 10th IEEE International Workshop on Robot and Human Interactive Communication. ROMAN 2001 (Cat. No.01TH8591).

Combined intention, activity, and motion recognition for a humanoid household robot

Tanja Schultz, Uwe D. Hanebeck, Rainer Stiefelhagen, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Efficient evaluation of the probability density function of a wrapped normal distribution

Gerhard Kurz, Uwe D. Hanebeck, Igor Gilitschenski, 2014, 2014 Sensor Data Fusion: Trends, Solutions, Applications (SDF).

Association-free tracking of two closely spaced targets

Uwe D. Hanebeck, Marcus Baum, 2010, 2010 IEEE Conference on Multisensor Fusion and Integration.

Recursive Bingham filter for directional estimation involving 180 degree symmetry

Gerhard Kurz, Uwe D. Hanebeck, Igor Gilitschenski, 2014 .

Stability Analysis of Polytopic Markov Jump Linear Systems with Applications to Sequence-Based Control over Networks

Uwe D. Hanebeck, Florian Rosenthal, U. Hanebeck, 2020 .

Using symmetric state transformations for multi-target tracking

Uwe D. Hanebeck, Marcus Baum, 2011, 14th International Conference on Information Fusion.

Nonlinear federated filtering

Uwe D. Hanebeck, Simon J. Julier, Benjamin Noack, 2013, Proceedings of the 16th International Conference on Information Fusion.

Optimal Reduction of Multivariate Dirac Mixture Densities

Uwe D. Hanebeck, 2015, Autom..

Nonlinear stochastic model predictive control in the circular domain

Gerhard Kurz, Uwe D. Hanebeck, Maxim Dolgov, 2015, 2015 American Control Conference (ACC).

Open-loop feedback control of nonlinear stochastic systems based on deterministic dirac mixture densities

Uwe D. Hanebeck, Achim Hekler, Christof Chlebek, 2012, 2012 American Control Conference (ACC).

Fourier density approximation for belief propagation in wireless sensor networks

Hui Wang, Uwe D. Hanebeck, Dragan Obradovic, 2008, 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

Towards High-Performance Solid-State-LiDAR-Inertial Odometry and Mapping pdf

Uwe D. Hanebeck, Meng Li, Kailai Li, 2020, IEEE Robotics and Automation Letters.

Parameterized Joint Densities with Gaussian and Gaussian Mixture Marginals

Uwe D. Hanebeck, Felix Sawo, Dietrich Brunn, 2006, 2006 9th International Conference on Information Fusion.

Recursive LMMSE Centralized Fusion with Compressed Multi-Radar Measurements

Uwe D. Hanebeck, Zhansheng Duan, Qingpeng Zhang, 2019, 2019 International Conference on Control, Automation and Information Sciences (ICCAIS).

Event-based state estimation with negative information

Uwe D. Hanebeck, Benjamin Noack, Joris Sijs, 2013, Proceedings of the 16th International Conference on Information Fusion.

Sensorgestützte Bewegungssynchronisation von Operationsinstrumenten am schlagenden Herzen

Uwe D. Hanebeck, Kathrin Roberts, Gábor Szabó, 2005, AMS.

The Probabilistic Instantaneous Matching Algorithm

Uwe D. Hanebeck, Frederik Beutler, 2006, 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

Direct fusion of Dirac mixture densities using an efficient approximation in joint state space

Uwe D. Hanebeck, Vesa Klumpp, 2008, 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

Non-identity measurement models for orientation estimation based on directional statistics

Gerhard Kurz, Uwe D. Hanebeck, Igor Gilitschenski, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Progressive Bayes: a new framework for nonlinear state estimation

Uwe D. Hanebeck, Andreas Rauh, Kai Briechle, 2003, SPIE Defense + Commercial Sensing.

Optimal point estimates for multi-target states based on kernel distances

Uwe D. Hanebeck, Marcus Baum, Patrick Ruoff, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Unscented Dual Quaternion Particle Filter for SE(3) Estimation

Uwe D. Hanebeck, Florian Pfaff, Kailai Li, 2021, IEEE Control Systems Letters.

Chance constrained model predictive control for multi-agent systems with coupling constraints

Daniel Lyons, Uwe D. Hanebeck, Jan-P. Calliess, 2012, 2012 American Control Conference (ACC).

Regularized non-parametric multivariate density and conditional density estimation

Uwe D. Hanebeck, Peter Krauthausen, U. Hanebeck, 2010, 2010 IEEE Conference on Multisensor Fusion and Integration.

Silhouette measurements for Bayesian object tracking in noisy point clouds

Uwe D. Hanebeck, Florian Faion, Marcus Baum, 2013, Proceedings of the 16th International Conference on Information Fusion.

On Wasserstein Barycenters and MMOSPA Estimation

Uwe D. Hanebeck, Peter Willett, Marcus Baum, 2015, IEEE Signal Processing Letters.

Kernel-based deterministic blue-noise sampling of arbitrary probability density functions

Uwe D. Hanebeck, 2014, 2014 48th Annual Conference on Information Sciences and Systems (CISS).

Discretization of SO(3) using recursive tesseract subdivision

Gerhard Kurz, Uwe D. Hanebeck, Florian Pfaff, 2017, 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

A Novel Haptic Interface for Extended Range Telepresence - Control and Evaluation

Uwe D. Hanebeck, Antonia Pérez Arias, 2009, ICINCO-RA.

Passive Localization Methods Exploiting Models of Distributed Natural Phenomena

Thomas C. Henderson, Uwe D. Hanebeck, Christopher A. Sikorski, 2009 .

A stochastic filter for planar rigid-body motions

Gerhard Kurz, Uwe D. Hanebeck, Igor Gilitschenski, 2015, 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Superficial Gaussian Mixture Reduction

Uwe D. Hanebeck, Marco F. Huber, Peter Krauthausen, 2011, GI-Jahrestagung.

Exploiting negative measurements for tracking star-convex extended objects

Uwe D. Hanebeck, Florian Faion, Antonio Zea, 2016, 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Simulation-based evaluation of predictive tracking for sorting bulk materials

Uwe D. Hanebeck, Harald Kruggel-Emden, Siegmar Wirtz, 2016, 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Dirac mixture trees for fast suboptimal multi-dimensional density approximation

Uwe D. Hanebeck, Vesa Klumpp, 2008, 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

Extension of the Sliced Gaussian Mixture Filter with application to cooperative passive target tracking

Uwe D. Hanebeck, Dietrich Fränken, Vesa Klumpp, 2009, 2009 12th International Conference on Information Fusion.

Intelligent sensor-scheduling for multi-kinect-tracking

Uwe D. Hanebeck, Florian Faion, Antonio Zea, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Editorial

Uwe D. Hanebeck, Thomas C. Henderson, 2009, Robotics Auton. Syst..

Test-environment based on a team of miniature walking robots for evaluation of collaborative control methods

Uwe D. Hanebeck, Marco F. Huber, Florian Weissel, 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Extended object tracking based on combined set-theoretic and stochastic fusion

Uwe D. Hanebeck, Marcus Baum, 2009, 2009 12th International Conference on Information Fusion.

Event-based LQG Control over Networks with Random Transmission Delays and Packet Losses

Uwe D. Hanebeck, Jörg Fischer, Maxim Dolgov, 2013 .

Data validation in the presence of stochastic and set-membership uncertainties

Uwe D. Hanebeck, Benjamin Noack, Florian Pfaff, 2013, Proceedings of the 16th International Conference on Information Fusion.

iviz: A ROS Visualization App for Mobile Devices pdf

Uwe D. Hanebeck, Antonio Zea, 2020, ArXiv.

Distributed Estimation with Unequal State Vectors using Deterministic Sample-based Fusion

Uwe D. Hanebeck, Susanne Radtke, Benjamin Noack, 2019 .

On Sensor Scheduling in Case of Unreliable Communication

Uwe D. Hanebeck, Marco F. Huber, Eric Stiegeler, 2007, GI Jahrestagung.

Optimal sample-based fusion for distributed state estimation

Uwe D. Hanebeck, Jannik Steinbring, Benjamin Noack, 2016, 2016 19th International Conference on Information Fusion (FUSION).

On entropy approximation for Gaussian mixture random vectors

Hugh F. Durrant-Whyte, Uwe D. Hanebeck, Tim Bailey, 2008, 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

Truncated Moment Problem for Dirac Mixture Densities with Entropy Regularization pdf

Uwe D. Hanebeck, U. Hanebeck, 2014, ArXiv.

State estimation in networked control systems with delayed and lossy acknowledgments

Uwe D. Hanebeck, Benjamin Noack, Florian Rosenthal, 2017, 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Combined stochastic and set-membership information filtering in multisensor systems

Uwe D. Hanebeck, Benjamin Noack, Florian Pfaff, 2012, 2012 15th International Conference on Information Fusion.

An Experimental Evaluation of Position Estimation Methods for Person Localization in Wireless Sensor Networks

Klaus D. Müller-Glaser, Uwe D. Hanebeck, Frederik Beutler, 2011, EWSN.

The partially wrapped normal distribution for SE(2) estimation

Gerhard Kurz, Uwe D. Hanebeck, Igor Gilitschenski, 2014, 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI).

Multi-Rate Asynchronous Distributed Filtering Under Randomized Gossip Strategy

Uwe D. Hanebeck, Teng Shao, Zhangsheng Duan, 2019, 2019 22th International Conference on Information Fusion (FUSION).

Improving multitarget tracking using orientation estimates for sorting bulk materials

Uwe D. Hanebeck, Harald Kruggel-Emden, Siegmar Wirtz, 2017, 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Optimal parametric density estimation by minimizing an analytic distance measure

Uwe D. Hanebeck, Oliver C. Schrempf, Anne Hanselmann, 2007, 2007 10th International Conference on Information Fusion.

Proceedings of the 33rd annual German conference on Advances in artificial intelligence

Uwe D. Hanebeck, Rüdiger Dillmann, Jürgen Beyerer, 2010 .

Toroidal information fusion based on the bivariate von Mises distribution

Gerhard Kurz, Uwe D. Hanebeck, U. Hanebeck, 2015, 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Design issues of mobile haptic interfaces

Uwe D. Hanebeck, Günther Schmidt, Norbert Nitzsche, 2003, J. Field Robotics.

Tracking an Extended Object Modeled as an Axis-Aligned Rectangle

Uwe D. Hanebeck, Marcus Baum, 2009, GI Jahrestagung.

State estimation for Stochastic Hybrid Systems based on deterministic Dirac mixture approximation

Gerhard Kurz, Uwe D. Hanebeck, Maxim Dolgov, 2014, 2014 American Control Conference.

Level-Set Random Hypersurface Models for tracking non-convex extended objects

Uwe D. Hanebeck, Florian Faion, Antonio Zea, 2013, Proceedings of the 16th International Conference on Information Fusion.

Joint Train Localization and Track Identification based on Earth Magnetic Field Distortions

Stephan Sand, Uwe D. Hanebeck, Benjamin Siebler, 2020, 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS).

Fusion of Barometric Sensors, WLAN Signals and Building Information for 3--D Indoor/Campus Localization

Henning Lenz, Andrei Szabo, Uwe D. Hanebeck, 2006 .

KI 2010: Advances in Artificial Intelligence, 33rd Annual German Conference on AI, Karlsruhe, Germany, September 21-24, 2010. Proceedings

Uwe D. Hanebeck, Rüdiger Dillmann, Jürgen Beyerer, 2010 .

Bounding linearization errors with sets of densities in approximate Kalman filtering

Uwe D. Hanebeck, Benjamin Noack, Nikolay Petkov, 2010, 2010 13th International Conference on Information Fusion.

Parameter estimation for the bivariate wrapped normal distribution

Gerhard Kurz, Uwe D. Hanebeck, U. Hanebeck, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Nonlinear von Mises–Fisher Filtering Based on Isotropic Deterministic Sampling

Uwe D. Hanebeck, Florian Pfaff, Kailai Li, 2020, 2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Feedback Controlled Motion Compression for Extended Range Telepresence

Uwe D. Hanebeck, Patrick Rößler, Norbert Nitzsche, 2004 .

Time-Periodic State Estimation with Event-Based Measurement Updates

Uwe D. Hanebeck, Mircea Lazar, Benjamin Noack, 2018, Event-Based Control and Signal Processing.

Real-time whole-body human motion tracking based on unlabeled markers

Uwe D. Hanebeck, Tamim Asfour, Florian Faion, 2016, 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

A Distance-based Framework for Gaussian Processes over Probability Distributions pdf

Uwe D. Hanebeck, Maxim Dolgov, U. Hanebeck, 2018, ArXiv.

Scheduling of Measurement Transmission in Networked Control Systems Subject to Communication Constraints

Uwe D. Hanebeck, Benjamin Noack, Florian Rosenthal, 2018, 2018 Annual American Control Conference (ACC).

Reconstruction of Cross-Correlations with Constant Number of Deterministic Samples

Ondrej Straka, Uwe D. Hanebeck, Susanne Radtke, 2018, 2018 21st International Conference on Information Fusion (FUSION).

The hybrid density filter for nonlinear estimation based on hybrid conditional density approximation

Uwe D. Hanebeck, Marco F. Huber, U. Hanebeck, 2007, 2007 10th International Conference on Information Fusion.

Progressive closed-loop chance-constrained control

Gerhard Kurz, Uwe D. Hanebeck, Maxim Dolgov, 2016, 2016 19th International Conference on Information Fusion (FUSION).

A Model-Based Framework for Optimal Measurements in Machine Tool Calibration

Uwe D. Hanebeck, Dietrich Brunn, 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

Gaussian Filtering using state decomposition methods

Uwe D. Hanebeck, Frederik Beutler, Marco F. Huber, 2009, 2009 12th International Conference on Information Fusion.

Sensor node localization methods based on local observations of distributed natural phenomena

Thomas C. Henderson, Uwe D. Hanebeck, Christopher A. Sikorski, 2008, 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

Gaussianity-Preserving Event-Based State Estimation With an FIR-Based Stochastic Trigger

Uwe D. Hanebeck, Benjamin Noack, Wolfgang Krippner, 2019, IEEE Control Systems Letters.

A generic model for estimating user intentions in human-robot cooperation

Uwe D. Hanebeck, Oliver C. Schrempf, O. C. Schrempf, 2005, ICINCO.

Optimal distributed combined stochastic and set-membership state estimation

Uwe D. Hanebeck, Benjamin Noack, Florian Pfaff, 2017, 2017 20th International Conference on Information Fusion (Fusion).

Conservative Quantization of Fast Covariance Intersection

Uwe D. Hanebeck, Benjamin Noack, Christopher Funk, 2020, 2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Multimodal circular filtering using Fourier series

Gerhard Kurz, Uwe D. Hanebeck, Florian Pfaff, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Efficient multilateration tracking with concurrent offset estimation using stochastic filtering techniques

Uwe D. Hanebeck, Frederik Beutler, Ferdinand Packi, 2010, 2010 13th International Conference on Information Fusion.

Reliable estimation of heart surface motion under stochastic and unknown but bounded systematic uncertainties

Uwe D. Hanebeck, Benjamin Noack, Evgeniya Bogatyrenko, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Self-localization of a mobile robot using fast normalized cross correlation

Uwe D. Hanebeck, K. Briechle, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

Grid-Based Quaternion Filter for SO(3) Estimation

Uwe D. Hanebeck, Florian Pfaff, Kailai Li, 2020, 2020 European Control Conference (ECC).

Autonome Mobile Systeme 1999, 15. Fachgespräch, München, 26.-27. November 1999

Uwe D. Hanebeck, Franz Freyberger, Günther Schmidt, 2000, AMS.

Estimating Correlated Angles Using the Hypertoroidal Grid Filter

Uwe D. Hanebeck, Florian Pfaff, Kailai Li, 2020, 2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Bayesian approach to direct pole estimation

Uwe D. Hanebeck, Christof Chlebek, U. Hanebeck, 2014, 2014 European Control Conference (ECC).

A model-predictive switching approach to efficient intention recognition

Uwe D. Hanebeck, Peter Krauthausen, U. Hanebeck, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Nonlinear toroidal filtering based on bivariate wrapped normal distributions

Gerhard Kurz, Uwe D. Hanebeck, Florian Pfaff, 2017, 2017 20th International Conference on Information Fusion (Fusion).

2D and 3D image stabilization for robotic beating heart surgery

Gerhard Kurz, Uwe D. Hanebeck, 2014, 17th International Conference on Information Fusion (FUSION).

Robust Filtering and Smoothing with Gaussian Processes

Carl E. Rasmussen, Uwe D. Hanebeck, Marco F. Huber, 2012, IEEE Transactions on Automatic Control.

GPU-accelerated progressive Gaussian filtering with applications to extended object tracking

Uwe D. Hanebeck, Jannik Steinbring, U. Hanebeck, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Bivariate angular estimation under consideration of dependencies using directional statistics

Gerhard Kurz, Uwe D. Hanebeck, Igor Gilitschenski, 2014, 53rd IEEE Conference on Decision and Control.

Design Issues of a Semi-Autonomous Robotic Assistant for the Health Care Environment

Uwe D. Hanebeck, Günther Schmidt, E. Ettelt, 1998, J. Intell. Robotic Syst..

Highly Parallelizable Plane Extraction for Organized Point Clouds Using Spherical Convex Hulls

Uwe D. Hanebeck, Kailai Li, Hannes Möls, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

A nonlinear model predictive control framework approximating noise corrupted systems with hybrid transition densities

Uwe D. Hanebeck, Marco F. Huber, Florian Weissel, 2007, 2007 46th IEEE Conference on Decision and Control.

Improved Progressive Gaussian Filtering Using LRKF Priors

Gerhard Kurz, Uwe D. Hanebeck, 2018, 2018 Annual American Control Conference (ACC).

Sensor Data Fusion: Trends, Solutions, Applications

Uwe D. Hanebeck, Arne Kraft, Reiner S. Thoma, 2011 .

Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking

Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, 2021, IEEE Transactions on Industrial Electronics.

Numerical modeling of an automated optical belt sorter using the Discrete Element Method

Uwe D. Hanebeck, Harald Kruggel-Emden, Siegmar Wirtz, 2016 .

Progressive Gaussian filtering using explicit likelihoods

Uwe D. Hanebeck, Jannik Steinbring, U. Hanebeck, 2014, 17th International Conference on Information Fusion (FUSION).

Pole-based distance measure for change detection in linear dynamic systems

Uwe D. Hanebeck, Christof Chlebek, U. Hanebeck, 2014, 17th International Conference on Information Fusion (FUSION).

Performance ranking of multiple nonlinear filters using ranking vector and voting fusion

Uwe D. Hanebeck, Zhansheng Duan, Xianqing Li, 2017, 2017 20th International Conference on Information Fusion (Fusion).

Correction to: Commentary to: TDOA versus ATDOA for wide area multilateration system

Uwe D. Hanebeck, Daniel Frisch, 2020, EURASIP J. Wirel. Commun. Netw..

An empirical method to fuse partially overlapping state vectors for distributed state estimation

Uwe D. Hanebeck, Benjamin Noack, Joris Sijs, 2013, 2013 European Control Conference (ECC).

Robust model predictive control with least favorable measurements

Daniel Lyons, Uwe D. Hanebeck, Achim Hekler, 2010, 2010 IEEE Conference on Multisensor Fusion and Integration.

Closed-Form Prediction of Nonlinear Dynamic Systems by Means of Gaussian Mixture Approximation of the Transition Density

Uwe D. Hanebeck, Marco F. Huber, Dietrich Brunn, 2006, 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

Adaptive model-based visual stabilization of image sequences using feedback

Uwe D. Hanebeck, Evgeniya Bogatyrenko, U. Hanebeck, 2011, 14th International Conference on Information Fusion.

Secure Fast Covariance Intersection Using Partially Homomorphic and Order Revealing Encryption Schemes

Uwe D. Hanebeck, Marko Ristic, Benjamin Noack, 2021, IEEE Control Systems Letters.

Evaluation of tracking methods for maritime surveillance

Jürgen Beyerer, Uwe D. Hanebeck, Marcus Baum, 2012, Defense + Commercial Sensing.

Bayesian fusion of empirical distributions based on local density reconstruction

Uwe D. Hanebeck, U. Hanebeck, 2015, 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Depth sensor calibration by tracking an extended object

Uwe D. Hanebeck, Florian Faion, Antonio Zea, 2015, 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Fast multitarget tracking via strategy switching for sensor-based sorting

Uwe D. Hanebeck, Harald Kruggel-Emden, Siegmar Wirtz, 2016, 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

State Estimation with Model-Mismatch-Based Secrecy against Eavesdroppers

Uwe D. Hanebeck, Benjamin Noack, Selim Özgen, 2019, 2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS).

Telepresence techniques for exception handling in household robots

Uwe D. Hanebeck, Patrick Rößler, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

On combining set theoretic and Bayesian estimation

Uwe D. Hanebeck, Günther Schmidt, Joachim Horn, 1996, Proceedings of IEEE International Conference on Robotics and Automation.

Sequence-based LQG control over stochastic networks with linear integral constraints

Uwe D. Hanebeck, Jörg Fischer, Maxim Dolgov, 2014, 53rd IEEE Conference on Decision and Control.

Polynomial-Time Algorithms for the Exact MMOSPA Estimate of a Multi-Object Probability Density Represented by Particles

Uwe D. Hanebeck, Peter Willett, Marcus Baum, 2015, IEEE Transactions on Signal Processing.

Tractable probabilistic models for intention recognition based on expert knowledge

Uwe D. Hanebeck, Oliver C. Schrempf, O. C. Schrempf, 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Optimal Kalman gains for combined stochastic and set-membership state estimation

Uwe D. Hanebeck, Benjamin Noack, Florian Pfaff, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Unscented Orientation Estimation Based on the Bingham Distribution

Gerhard Kurz, Uwe D. Hanebeck, Igor Gilitschenski, 2013, IEEE Transactions on Automatic Control.

A novel haptic interface for free locomotion in extended range telepresence scenarios

Uwe D. Hanebeck, Michael Mende, Timothy C. Armstrong, 2006, ICINCO-RA.

Probabilistic instantaneous model-based signal processing applied to localization and tracking

Uwe D. Hanebeck, Frederik Beutler, Marco F. Huber, 2009, Robotics Auton. Syst..

14: Digitaltechnik und Entwurfsverfahren, Vorlesung, SS 2016, am 09.06.2016

Uwe D. Hanebeck, Kit Webcast, 2016 .

Deterministic Dirac mixture approximation of Gaussian mixtures

Uwe D. Hanebeck, Igor Gilitschenski, Jannik Steinbring, 2014, 17th International Conference on Information Fusion (FUSION).

Localized Cumulative Distributions and a multivariate generalization of the Cramér-von Mises distance

Uwe D. Hanebeck, Vesa Klumpp, U. Hanebeck, 2008, 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

e-Installation: Synesthetic Documentation of Media Art via Telepresence Technologies pdf

Uwe D. Hanebeck, Florian Faion, Antonio Zea, 2014, ArXiv.

Extended object and group tracking with Elliptic Random Hypersurface Models

Uwe D. Hanebeck, Marcus Baum, Benjamin Noack, 2010, 2010 13th International Conference on Information Fusion.

Optimal Sequence-Based Control and Estimation of Networked Linear Systems

Uwe D. Hanebeck, Jörg Fischer, Marc Reinhardt, 2013, Autom..

Dynamic compensation of Markov jump linear systems without mode observation

Uwe D. Hanebeck, Maxim Dolgov, Christof Chlebek, 2016, 2016 European Control Conference (ECC).

Chance-constrained Model Predictive Control based on box approximations

Gerhard Kurz, Uwe D. Hanebeck, Maxim Dolgov, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Heart phase estimation using directional statistics for robotic beating heart surgery

Gerhard Kurz, Uwe D. Hanebeck, U. Hanebeck, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Gaussian filtering for polynomial systems based on moment homotopy

Uwe D. Hanebeck, Marco F. Huber, U. Hanebeck, 2013, Proceedings of the 16th International Conference on Information Fusion.

New estimators for mixed stochastic and set theoretic uncertainty models: The general case

Uwe D. Hanebeck, Joachim Horn, 1999 .

Decentralized data fusion with inverse covariance intersection

Uwe D. Hanebeck, Benjamin Noack, Joris Sijs, 2017, Autom..

MMOSPA-based track extraction in the PHD filter - a justification for k-means clustering

Uwe D. Hanebeck, Peter Willett, Marcus Baum, 2014, 53rd IEEE Conference on Decision and Control.

An Ensemble Kalman Filter for Feature-Based SLAM with Unknown Associations

Uwe D. Hanebeck, Christoph Rauterberg, Marcus Baum, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Progressive Bayesian estimation with deterministic particles

Uwe D. Hanebeck, Martin Pander, 2016, 2016 19th International Conference on Information Fusion (FUSION).

A Test-Environment for Control Schemes in the Field of Collaborative Robots and Swarm Intelligence

Uwe D. Hanebeck, Florian Weissel, 2005 .

A new probability distribution for simultaneous representation of uncertain position and orientation

Gerhard Kurz, Uwe D. Hanebeck, Igor Gilitschenski, 2014, 17th International Conference on Information Fusion (FUSION).

The Hypothesizing Distributed Kalman Filter

Uwe D. Hanebeck, Benjamin Noack, Marc Reinhardt, 2012, 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

ROBDEKON: Robotic Systems for Decontamination in Hazardous Environments

Rüdiger Dillmann, Uwe D. Hanebeck, Tamim Asfour, 2019, 2019 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR).

A new high performance multisonar system for fast mobile robots

Uwe D. Hanebeck, Günther Schmidt, 1994, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'94).

Recursive Bayesian calibration of depth sensors with non-overlapping views

Uwe D. Hanebeck, Florian Faion, Antonio Zea, 2012, 2012 15th International Conference on Information Fusion.

Treatment of biased and dependent sensor data in graph-based SLAM

Uwe D. Hanebeck, Simon J. Julier, Benjamin Noack, 2015, 2015 18th International Conference on Information Fusion (Fusion).

A robust computational test for overlap of two arbitrary-dimensional ellipsoids in fault-detection of Kalman filters

Uwe D. Hanebeck, Igor Gilitschenski, U. Hanebeck, 2012, 2012 15th International Conference on Information Fusion.

Comparative Study of Track-to-Track Fusion Methods for Cooperative Tracking with Bearings-only Measurements

Uwe D. Hanebeck, Susanne Radtke, Benjamin Noack, 2019, 2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS).

Wahrscheinlichkeitsdichten Modeling of Uncertainties and State Estimation with Sets of Probability Densities

Daniel Lyons, Uwe D. Hanebeck, Benjamin Noack, 2010 .

Symmetrizing measurement equations for association-free multi-target tracking via point set distances

Peter Willett, Uwe D. Hanebeck, Marcus Baum, 2017, Defense + Security.

State Estimation with Event-Based Inputs Using Stochastic Triggers

Uwe D. Hanebeck, Susanne Radtke, Benjamin Noack, 2020 .

Wide-area haptic guidance: Taking the user by the hand

Uwe D. Hanebeck, Antonia Pérez Arias, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Improved Pose Graph Optimization for Planar Motions Using Riemannian Geometry on the Manifold of Dual Quaternions pdf

Uwe D. Hanebeck, Benjamin Noack, Kailai Li, 2019, ArXiv.

Approximate calculation of marginal association probabilities using a hybrid data association model

Uwe D. Hanebeck, Yaakov Bar-Shalom, Peter Willett, 2014, Defense + Security Symposium.

Modellbasierte Vermessung verteilter Phänomene und Generierung optimaler Messsequenzen (Model-based Reconstruction of Distributed Phenomena and Optimal Sensor Placement)

Uwe D. Hanebeck, Felix Sawo, D. Brunn, 2007 .

Fusing Information Simultaneously Corrupted by Uncertainties with Known Bounds and Random Noise with Known Distribution

Uwe D. Hanebeck, Joachim Horn, U. Hanebeck, 2000, Inf. Fusion.

Calibrating dynamic pedestrian route choice with an Extended Range Telepresence System

Uwe D. Hanebeck, Tobias Kretz, Simon Friedberger, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Fuzzy Guidance of Omnidirectional Mobile Robots Including Sensor–Based Obstacle Avoidance

Uwe D. Hanebeck, Stefan Maier, 1995 .

Camera- and IMU-based pose tracking for augmented reality

Uwe D. Hanebeck, Florian Faion, Antonio Zea, 2016, 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Visual stabilization of beating heart motion by model-based transformation of image sequences

Uwe D. Hanebeck, Evgeniya Bogatyrenko, 2011, Proceedings of the 2011 American Control Conference.

ROTA: Round Trip Times of Arrival for Localization with Unsynchronized Receivers

Uwe D. Hanebeck, Daniel Frisch, U. Hanebeck, 2019, 2019 22th International Conference on Information Fusion (FUSION).

Stochastic Optimal Control Using Gaussian Process Regression over Probability Distributions

Uwe D. Hanebeck, Florian Rosenthal, Maxim Dolgov, 2019, 2019 American Control Conference (ACC).

Stochastic Integration Filter: Theoretical and Implementation Aspects

Ondrej Straka, Uwe D. Hanebeck, Jindrich Havlik, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Motion Compression for Telepresent Walking in Large Target Environments

Uwe D. Hanebeck, Günther Schmidt, Norbert Nitzsche, 2004, Presence: Teleoperators & Virtual Environments.

Tracking connected objects using interacting shape models

Uwe D. Hanebeck, Florian Faion, Antonio Zea, 2014, 17th International Conference on Information Fusion (FUSION).

Stochastic nonlinear model predictive control based on deterministic scenario generation

Uwe D. Hanebeck, Christof Chlebek, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Situation-Specific Intention Recognition for Human-Robot Cooperation

Uwe D. Hanebeck, Peter Krauthausen, U. Hanebeck, 2010, KI.

A New Approach for Hybrid Bayesian Networks Using Full Densities

Uwe D. Hanebeck, O. C. Schrempf, 2004 .

Motion control of a semi-mobile haptic interface for extended range telepresence

Uwe D. Hanebeck, Antonia Pérez Arias, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Distributed Estimation with Partially Overlapping States based on Deterministic Sample-based Fusion

Uwe D. Hanebeck, Susanne Radtke, Benjamin Noack, 2019, 2019 18th European Control Conference (ECC).

Motion compression applied to guidance of a mobile teleoperator

Uwe D. Hanebeck, Frederik Beutler, Norbert Nitzsche, 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Sparse mixture conditional density estimation by superficial regularization

Uwe D. Hanebeck, Peter Krauthausen, Patrick Ruoff, 2011, 14th International Conference on Information Fusion.

Tracking a minimum bounding rectangle based on extreme value theory

Uwe D. Hanebeck, Marcus Baum, 2010, 2010 IEEE Conference on Multisensor Fusion and Integration.

Covariance Intersection in state estimation of dynamical systems

Jirí Ajgl, Uwe D. Hanebeck, Benjamin Noack, 2014, 17th International Conference on Information Fusion (FUSION).

Static Output-Feedback Control of Markov Jump Linear Systems Without Mode Observation

Uwe D. Hanebeck, Maxim Dolgov, 2017, IEEE Transactions on Automatic Control.

Stochastic model predictive control of time-variant nonlinear systems with imperfect state information

Uwe D. Hanebeck, Marco F. Huber, Thomas Schreiter, 2008, 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

Parameter identification and reconstruction for distributed phenomena based on hybrid density filter

Uwe D. Hanebeck, Marco F. Huber, Felix Sawo, 2007, 2007 10th International Conference on Information Fusion.

State estimation considering negative information with switching Kalman and ellipsoidal filtering

Uwe D. Hanebeck, Marcus Baum, Benjamin Noack, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Fully Decentralized Estimation Using Square-Root Decompositions

Uwe D. Hanebeck, Susanne Radtke, Benjamin Noack, 2020, 2020 IEEE 23rd International Conference on Information Fusion (FUSION).

Extended Range Telepresence for Evacuation Training in Pedestrian Simulations pdf

Uwe D. Hanebeck, Peter Vortisch, Tobias Kretz, 2010, ArXiv.

MODELLING OF DYNAMIC MEASUREMENT SYSTEMS AND UNCERTAINTY ANALYSIS EMPLOYING DISCRETISED STATE-SPACE FORMS

Michael Krystek, Uwe D. Hanebeck, Klaus-Dieter Sommer, 2009 .

Morning Session - Joint Communication and Positioning I

Andrei Szabo, Uwe D. Hanebeck, Peter Ibach, 2007 .

STOCHASTIC PREDICTION OF WAYPOINTS FOR EXTENDED RANGE TELEPRESENCE APPLICATIONS

Uwe D. Hanebeck, Patrick Rößler, O. C. Schrempf, 2006 .

Modeling the target extent with multiplicative noise

Uwe D. Hanebeck, Florian Faion, Marcus Baum, 2012, 2012 15th International Conference on Information Fusion.

A wearable system for the wireless experience of extended range telepresence

Uwe D. Hanebeck, Frederik Beutler, Ferdinand Packi, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Optimal Sequence-Based Tracking Control over Unreliable Networks

Uwe D. Hanebeck, Jörg Fischer, Maxim Dolgov, 2014 .

Recursive Bayesian filtering in circular state spaces

Gerhard Kurz, Uwe D. Hanebeck, Igor Gilitschenski, 2015, IEEE Aerospace and Electronic Systems Magazine.

Lokalisierung mittels mengenbasierter nichtlinearer Filterung im Hyperraum (Localization Using Set-theoretic Nonlinear Filtering Methods)

Uwe D. Hanebeck, Kai Briechle, 2005, Autom..

Sequence-Based Stochastic Receding Horizon Control Using IMM Filtering and Value Function Approximation

Uwe D. Hanebeck, Florian Rosenthal, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Evaluation of Image Stabilization Methods in Robotic Beating Heart Surgery

Gerhard Kurz, Uwe D. Hanebeck, Péter Hegedüs, 2014, CURAC.

Semi-analytic stochastic linearization for range-based pose tracking

Uwe D. Hanebeck, Frederik Beutler, Marco F. Huber, 2010, 2010 IEEE Conference on Multisensor Fusion and Integration.

Numerical Investigation of Optical Sorting Using the Discrete Element Method

Uwe D. Hanebeck, Harald Kruggel-Emden, Siegmar Wirtz, 2016 .

Form and Content in Sensor Networks, 18.09. - 23.09.2005

Leonidas J. Guibas, Thomas C. Henderson, Uwe D. Hanebeck, 2006, Form and Content in Sensor Networks.

Finite-horizon dynamic compensation of Markov Jump Linear Systems without mode observation

Gerhard Kurz, Uwe D. Hanebeck, Maxim Dolgov, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Deterministic approximation of circular densities with symmetric Dirac mixtures based on two circular moments

Gerhard Kurz, Uwe D. Hanebeck, Igor Gilitschenski, 2014, 17th International Conference on Information Fusion (FUSION).

ROMAN: Ein Service-Roboter als persänlicher Assistent in belebten Innenräumen

Uwe D. Hanebeck, Günther Schmidt, Franz Freyberger, 1996, AMS.

Tracking elongated extended objects using splines

Uwe D. Hanebeck, Florian Faion, Antonio Zea, 2016, 2016 19th International Conference on Information Fusion (FUSION).

A novel Bayesian method for fitting a circle to noisy points

Uwe D. Hanebeck, Marcus Baum, Vesa Klumpp, 2010, 2010 13th International Conference on Information Fusion.

Directional Statistics and Filtering Using libDirectional pdf

Roland Siegwart, Uwe D. Hanebeck, Reinhold Häb-Umbach, 2017, Journal of Statistical Software.

Analytic moment-based Gaussian process filtering

Uwe D. Hanebeck, Marco F. Huber, Marc Peter Deisenroth, 2009, ICML '09.

Constrained object tracking on compact one-dimensional manifolds based on directional statistics

Gerhard Kurz, Uwe D. Hanebeck, Florian Faion, 2013, International Conference on Indoor Positioning and Indoor Navigation.

Nonlinear visual mapping model for 3-D visual tracking with uncalibrated eye-in-hand robotic system

Uwe D. Hanebeck, Jianbo Su, Yugeng Xi, 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Wireless acoustic tracking for extended range telepresence

Uwe D. Hanebeck, Frederik Beutler, Ferdinand Packi, 2010, 2010 International Conference on Indoor Positioning and Indoor Navigation.

Minimum Covariance Bounds for the Fusion under Unknown Correlations

Uwe D. Hanebeck, Pablo O. Arambel, Benjamin Noack, 2015, IEEE Signal Processing Letters.

Mixture Random Hypersurface Models for tracking multiple extended objects

Uwe D. Hanebeck, Marcus Baum, Benjamin Noack, 2011, IEEE Conference on Decision and Control and European Control Conference.

Tracking Elongated Extended Objects Using Splines Antonio Zea

Uwe D. Hanebeck, Florian Faion, 2016, FUSION 2016.

Efficient method for simultaneous map building and localization

Uwe D. Hanebeck, Joachim Horn, U. Hanebeck, 2001, SPIE Defense + Commercial Sensing.

Dynamische Bänder zur Bewegungsplanung für mobile Manipulatoren

Uwe D. Hanebeck, Günther Schmidt, Ralf Furtwängler, 1998, AMS.

Simultaneous multi-information fusion and parameter estimation for robust 3-D indoor positioning systems

Andrei Szabo, Hui Wang, Uwe D. Hanebeck, 2008, 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

The Kernel-SME filter with false and missing measurements

Uwe D. Hanebeck, Marcus Baum, Shishan Yang, 2016, 2016 19th International Conference on Information Fusion (FUSION).

ROMAN: a mobile robotic assistant for indoor service applications

Uwe D. Hanebeck, Günther Schmidt, Christian Fischer, 1997, Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97.

Bayesian estimation with uncertain parameters of probability density functions

Uwe D. Hanebeck, Vesa Klumpp, 2009, 2009 12th International Conference on Information Fusion.

Hybrid transition density approximation for efficient recursive prediction of nonlinear dynamic systems

Uwe D. Hanebeck, Marco F. Huber, 2007, IPSN.

Simultaneous state and parameter estimation for physics-based tracking of heart surface motion

Uwe D. Hanebeck, Evgeniya Bogatyrenko, 2010, 2010 IEEE Conference on Multisensor Fusion and Integration.

Guest Editorial Special Section on Multisensor Fusion and Integration for Intelligent Systems

Uwe D. Hanebeck, Marcus Baum, Marco F. Huber, 2018, IEEE Trans. Ind. Informatics.

Tracking ground moving extended objects using RGBD data

Uwe D. Hanebeck, Florian Faion, Marcus Baum, 2012, 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Progressive Gaussian filtering based on Dirac Mixture approximations

Uwe D. Hanebeck, Jannik Steinbring, 2012, 2012 15th International Conference on Information Fusion.

Heart surface motion estimation framework for robotic surgery employing meshless methods

Uwe D. Hanebeck, Gábor Szabó, Evgeniya Bogatyrenko, 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

A Log-Ratio Information Measure for Stochastic Sensor Management

Daniel Lyons, Uwe D. Hanebeck, Benjamin Noack, 2010, 2010 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing.

Infinite-horizon sequence-based networked control without acknowledgments

Uwe D. Hanebeck, Jörg Fischer, Maxim Dolgov, 2015, 2015 American Control Conference (ACC).

State estimation based on observations simultaneously corrupted by random noise with known distribution and uncertainties with known bounds

Uwe D. Hanebeck, Joachim Horn, U. Hanebeck, 1999, Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289).

FLUX: Progressive State Estimation Based on Zakai-type Distributed Ordinary Differential Equations pdf

Uwe D. Hanebeck, 2018, ArXiv.

Bearings-only sensor scheduling using circular statistics

Gerhard Kurz, Uwe D. Hanebeck, Igor Gilitschenski, 2013, Proceedings of the 16th International Conference on Information Fusion.

Nonlinear prediction for circular filtering using Fourier series

Gerhard Kurz, Uwe D. Hanebeck, Florian Pfaff, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Localization of a mobile robot using relative bearing measurements

Uwe D. Hanebeck, Kai Briechle, U. Hanebeck, 2004, IEEE Transactions on Robotics and Automation.

Control over unreliable networks based on control input densities

Uwe D. Hanebeck, Achim Hekler, Jörg Fischer, 2012, 2012 15th International Conference on Information Fusion.

Data-Driven Modeling of Signal Strength Distributions for Localization in Cellular Radio Networks (Datengetriebene Modellierung von Feldstärkeverteilungen für die Ortung in zellulären Funknetzen)

Uwe D. Hanebeck, Marian Grigoras, Olga Feiermann, 2005, Autom..

New state estimator for a mixed stochastic and set theoretic uncertainty model

Uwe D. Hanebeck, Joachim Horn, 1999, Defense, Security, and Sensing.

On optimal distributed Kalman filtering in non-ideal situations

Uwe D. Hanebeck, Benjamin Noack, Marc Reinhardt, 2012, 2012 15th International Conference on Information Fusion.

Approximation of stochastic nonlinear closed-loop feedback control with application to miniature walking robots

Uwe D. Hanebeck, Christof Chlebek, U. Hanebeck, 2016, 2016 European Control Conference (ECC).

Mobile haptische Schnittstellen für weiträumige Telepräsenz: Idee und Methodik (Mobile Haptic Interfaces for Extended Area Telepresence: Idea and Methodology)

Uwe D. Hanebeck, Günther Schmidt, Norbert Nitzsche, 2003 .

Optimal Gaussian filtering for polynomial systems applied to association-free multi-target tracking

Uwe D. Hanebeck, Marcus Baum, Frederik Beutler, 2011, 14th International Conference on Information Fusion.

The Sliced Gaussian Mixture Filter with adaptive state decomposition depending on linearization error

Uwe D. Hanebeck, Frederik Beutler, Dietrich Fränken, 2010, 2010 13th International Conference on Information Fusion.

CoCPN – Towards Flexible and Adaptive Cyber-Physical Systems Through Cooperation

Martina Zitterbart, Uwe D. Hanebeck, Florian Rosenthal, 2019, 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC).

Greedy algorithms for dirac mixture approximation of arbitrary probability density functions

Uwe D. Hanebeck, Oliver C. Schrempf, 2007, 2007 46th IEEE Conference on Decision and Control.

Unscented von Mises–Fisher Filtering

Gerhard Kurz, Uwe D. Hanebeck, Igor Gilitschenski, 2016, IEEE Signal Processing Letters.

Efficient Nonlinear Bayesian Estimation based on Fourier Densities

Uwe D. Hanebeck, Felix Sawo, Dietrich Brunn, 2006, 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

Adaptive Localization in Wireless Networks

Andrei Szabo, Uwe D. Hanebeck, Joachim Horn, 2008 .

Ein Zwei-Kartne-Verfahren zur gleichzeitigen Kartographierung und Lokalisierung

Uwe D. Hanebeck, Kai Briechle, 2000, AMS.

Localization of DECT mobile phones based on a new nonlinear filtering technique

Uwe D. Hanebeck, Andreas Rauh, Kai Briechle, 2003, SPIE Defense + Commercial Sensing.

Stochastic Optimal Control using Local Sample-based Value Function Approximation

Gerhard Kurz, Uwe D. Hanebeck, Florian Rosenthal, 2018, 2018 Annual American Control Conference (ACC).

A new high Performance Multisonar System for Fast Mobile Robot Applications

Uwe D. Hanebeck, Günther Schmidt, 1994, IROS.

MMOSPA-based direction-of-arrival estimation for planar antenna arrays

Uwe D. Hanebeck, Peter Willett, Marcus Baum, 2014, 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM).

Multivariate parametric density estimation based on the modified Cramér-von Mises distance

Uwe D. Hanebeck, Peter Krauthausen, Henning P. Eberhardt, 2010, 2010 IEEE Conference on Multisensor Fusion and Integration.

Finite-Horizon Optimal State-Feedback Control of Nonlinear Stochastic Systems Based on a Minimum Principle

Uwe D. Hanebeck, Toshiyuki Ohtsuka, Marc Peter Deisenroth, 2006, 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

Control Algorithms for 3-DoF Handheld Robotic Devices Used in Orthopedic Surgery

Uwe D. Hanebeck, Harald Hoppe, Martin Klemm, 2019, J. Medical Robotics Res..

Advances in hypothesizing distributed Kalman filtering

Uwe D. Hanebeck, Benjamin Noack, Marc Reinhardt, 2013, Proceedings of the 16th International Conference on Information Fusion.

Dirac Mixture Density Approximation Based on Minimization of the Weighted Cramer-von Mises Distance

Uwe D. Hanebeck, Oliver C. Schrempf, Dietrich Brunn, 2006, 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

A closed-form likelihood for Particle Filters to track extended objects with star-convex RHMs

Uwe D. Hanebeck, Florian Faion, Antonio Zea, 2015, 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

On nonlinear track-to-track fusion with Gaussian mixtures

Uwe D. Hanebeck, Benjamin Noack, Marc Reinhardt, 2014, 17th International Conference on Information Fusion (FUSION).

Extended Object Tracking with Random Hypersurface Models

Uwe D. Hanebeck, Marcus Baum, U. Hanebeck, 2013, IEEE Transactions on Aerospace and Electronic Systems.

Tracking simplified shapes using a stochastic boundary

Uwe D. Hanebeck, Florian Faion, Antonio Zea, 2014, 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM).

TrackSort: Predictive tracking for sorting uncooperative bulk materials

Jürgen Beyerer, Uwe D. Hanebeck, Marcus Baum, 2015, 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Optimal quantization of circular distributions

Roland Siegwart, Gerhard Kurz, Uwe D. Hanebeck, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Covariance intersection in nonlinear estimation based on pseudo Gaussian densities

Uwe D. Hanebeck, Marcus Baum, Benjamin Noack, 2011, 14th International Conference on Information Fusion.

Real-time motion prediction using the chromatic offset of line scan cameras

Jürgen Beyerer, Uwe D. Hanebeck, Harald Kruggel-Emden, 2017, Autom..

A New Concept for State Estimation in the Presence of Stochastic and Set Theoretic Uncertainties

Joachim Horn, Uwe D. Hanebeck, U. Hanebeck, 1999 .

Automatische Kartographierung der Signalcharakteristik in Funknetzwerken

Uwe D. Hanebeck, Joachim Bamberger, Patrick Rößler, 2003, AMS.

Simultaneous state and parameter estimation of distributed-parameter physical systems based on sliced Gaussian mixture filter

Uwe D. Hanebeck, Vesa Klumpp, Felix Sawo, 2008, 2008 11th International Conference on Information Fusion.

Distributed Kalman filtering in the presence of packet delays and losses

Uwe D. Hanebeck, Benjamin Noack, Sanjeev Kulkarni, 2014, 17th International Conference on Information Fusion (FUSION).

A closed-form model predictive control framework for nonlinear noise-corrupted systems

Uwe D. Hanebeck, Marco F. Huber, Florian Weissel, 2007, ICINCO-SPSMC.

Filtering on the unit sphere using spherical harmonics

Gerhard Kurz, Uwe D. Hanebeck, Florian Pfaff, 2017, 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

A Framework for Evaluating the VISSIM Traffic Simulation with Extended Range Telepresence

Uwe D. Hanebeck, Peter Vortisch, Tobias Kretz, 2009 .

Recursive fusion of noisy depth and position measurements for surface reconstruction

Gerhard Kurz, Uwe D. Hanebeck, U. Hanebeck, 2013, Proceedings of the 16th International Conference on Information Fusion.

Dynamic Surface Reconstruction by Recursive Fusion of Depth and Position MeasurementsDynamic Surface Reconstruction by Recursive Fusion of Depth and Position Measurements

Gerhard Kurz, Uwe D. Hanebeck, 2014, J. Adv. Inf. Fusion.

Adaptive lower bounds for Gaussian measures of polytopes

Uwe D. Hanebeck, Maxim Dolgov, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Decentralized control based on globally optimal estimation

Uwe D. Hanebeck, Benjamin Noack, Marc Reinhardt, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Nonlinear Bayesian estimation with compactly supported wavelets

Uwe D. Hanebeck, Achim Hekler, Martin Kiefel, 2010, 49th IEEE Conference on Decision and Control (CDC).

Closed-form elliptic location with an arbitrary array topology

Uwe D. Hanebeck, Günther Schmidt, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Extended kernel-based location fingerprinting in wireless sensor networks

Uwe D. Hanebeck, Zhansheng Duan, Qi Zhou, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Optimal stochastic linearization for range-based localization

Uwe D. Hanebeck, Frederik Beutler, Marco F. Huber, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Schnelle Objektdetektion mit Ultraschallsensor-Arrays

Uwe D. Hanebeck, Günther Schmidt, 1995, AMS.

Mobile Robot Localization Based on Efficient Processing of Sensor Data and Set-theoretic State Estimation

Uwe D. Hanebeck, Günther Schmidt, 1997, ISER.

Stereo Visual SLAM Based on Unscented Dual Quaternion Filtering

Uwe D. Hanebeck, Kailai Li, Simon Bultmann, 2019, 2019 22th International Conference on Information Fusion (FUSION).

KI 2010: Advances in Artificial Intelligence

Tanja Schultz, Uwe D. Hanebeck, Rüdiger Dillmann, 2010, Lecture Notes in Computer Science.

Numerical modelling of an optical belt sorter using a DEM–CFD approach coupled with particle tracking and comparison with experiments

Uwe D. Hanebeck, Harald Kruggel-Emden, Siegmar Wirtz, 2018, Powder Technology.

A state estimator for nonlinear stochastic systems based on dirac mixture approximations

Uwe D. Hanebeck, Oliver C. Schrempf, O. C. Schrempf, 2007, ICINCO-SPSMC.

Using a Telepresence System to Investigate Route Choice Behavior pdf

Uwe D. Hanebeck, Tobias Kretz, Simon Friedberger, 2011, ArXiv.

Approximate Nonlinear Bayesian Estimation Based on Lower and Upper Densities

Uwe D. Hanebeck, Vesa Klumpp, Dietrich Brunn, 2006, 2006 9th International Conference on Information Fusion.

Partial likelihood for unbiased extended object tracking

Uwe D. Hanebeck, Florian Faion, Antonio Zea, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Application of Discrete Recursive Bayesian Estimation on Intervals and the Unit Circle to Filtering on SE(2)

Gerhard Kurz, Uwe D. Hanebeck, Florian Pfaff, 2018, IEEE Transactions on Industrial Informatics.

3D reflectivity reconstruction by means of spatially distributed Kalman Filters

Uwe D. Hanebeck, Nicole V. Ruiter, Uwe Mayer, 2008, 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

Closed-form optimization of covariance intersection for low-dimensional matrices

Uwe D. Hanebeck, Benjamin Noack, Marc Reinhardt, 2012, 2012 15th International Conference on Information Fusion.

A likelihood-free particle filter for multi-obiect tracking

Uwe D. Hanebeck, Marcus Baum, Fabian Sigges, 2017, 2017 20th International Conference on Information Fusion (Fusion).

Estimating Uncertainties of Recurrent Neural Networks in Application to Multitarget Tracking

Uwe D. Hanebeck, Florian Pfaff, Daniel Pollithy, 2020, 2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Progressive Gaussian Filtering pdf

Uwe D. Hanebeck, Jannik Steinbring, 2012, ArXiv.

Progressive Gaussian mixture reduction

Uwe D. Hanebeck, Marco F. Huber, U. Hanebeck, 2008, 2008 11th International Conference on Information Fusion.

Lokalisierung eines mobilen Roboters mittels effizienter Auswertung von Sensordaten und mengenbasierter Zustandsschätzung

Uwe D. Hanebeck, 1997 .

Exploiting clutter: Negative information for enhanced extended object tracking

Uwe D. Hanebeck, Florian Faion, Antonio Zea, 2015, 2015 18th International Conference on Information Fusion (Fusion).

05381 Abstracts Collection -- Form and Content in Sensor Networks

Leonidas J. Guibas, Thomas C. Henderson, Uwe D. Hanebeck, 2005, Form and Content in Sensor Networks.

Priority list sensor scheduling using optimal pruning

Uwe D. Hanebeck, Marco F. Huber, U. Hanebeck, 2008, 2008 11th International Conference on Information Fusion.

Extended Object and Group Tracking: A Comparison of Random Matrices and Random Hypersurface Models

Uwe D. Hanebeck, Marcus Baum, Dietrich Fränken, 2010, GI Jahrestagung.

Nonlinear Progressive Filtering for SE(2) Estimation

Gerhard Kurz, Uwe D. Hanebeck, Kailai Li, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Three pillar information management system for modeling the environment of autonomous systems

Jürgen Beyerer, Uwe D. Hanebeck, Marcus Baum, 2010, 2010 IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems.

S2KF: The Smart Sampling Kalman Filter

Uwe D. Hanebeck, Jannik Steinbring, U. Hanebeck, 2013, Proceedings of the 16th International Conference on Information Fusion.

Progressive correction for deterministic Dirac mixture approximations

Uwe D. Hanebeck, Peter Krauthausen, Patrick Ruoff, 2011, 14th International Conference on Information Fusion.

Optimally Distributed Kalman Filtering with Data-Driven Communication †

Uwe D. Hanebeck, Benjamin Noack, Katharina Dormann, 2018, Sensors.

Experimentelle Vertiefung der Ausbildung im Fuzzy-Logik-Reglerentwurf/ Emphasizing fuzzy logic control design by means of laboratory experiments

Uwe D. Hanebeck, Günther Schmidt, 1993 .

Efficient physics-based tracking of heart surface motion for beating heart surgery robotic systems

Uwe D. Hanebeck, Pascal Pompey, Evgeniya Bogatyrenko, 2011, International Journal of Computer Assisted Radiology and Surgery.

Motion-based material characterization in sensor-based sorting

Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, 2017 .

Retrodiction of Data Association Probabilities via Convex Optimization

Uwe D. Hanebeck, Marco F. Huber, Benjamin Noack, 2018, 2018 21st International Conference on Information Fusion (FUSION).

State estimation in Networked Control Systems

Uwe D. Hanebeck, Achim Hekler, Jörg Fischer, 2012, 2012 15th International Conference on Information Fusion.

Distributed Estimation using Square Root Decompositions of Dependent Information

Uwe D. Hanebeck, Susanne Radtke, Benjamin Noack, 2019, 2019 22th International Conference on Information Fusion (FUSION).

Nonlinear Decentralized Data Fusion with Generalized Inverse Covariance Intersection

Uwe D. Hanebeck, Umut Orguner, Benjamin Noack, 2019, 2019 22th International Conference on Information Fusion (FUSION).

Discrete recursive Bayesian filtering on intervals and the unit circle

Gerhard Kurz, Uwe D. Hanebeck, Florian Pfaff, 2016, 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Efficient Representation and Fusion of Hybrid Joint Densities for Clusters in Nonlinear Hybrid Bayesian Networks

Uwe D. Hanebeck, Oliver C. Schrempf, O. C. Schrempf, 2006, 2006 9th International Conference on Information Fusion.

Efficient Bingham filtering based on saddlepoint approximations

Gerhard Kurz, Uwe D. Hanebeck, Igor Gilitschenski, 2014, 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI).

Extending Telepresent Walking by Motion Compression

Uwe D. Hanebeck, Günther Schmidt, Norbert Nitzsche, 2002 .

Optimization of Fuzzy Networks via Genetic-Algorithm

Uwe D. Hanebeck, Günther Schmidt, U. Hanebeck, 1994 .

Multi-sensor distributed estimation fusion using minimum distance sum

Uwe D. Hanebeck, Zhansheng Duan, X. Rong Li, 2014, 17th International Conference on Information Fusion (FUSION).

OSPA barycenters for clustering set-valued data

Uwe D. Hanebeck, Peter Willett, Marcus Baum, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Decentralized State Estimation of Distributed Phenomena based on Covariance Bounds

Uwe D. Hanebeck, Frederik Beutler, Felix Sawo, 2008 .

Progressive Gaussian filter using importance sampling and particle flow

Uwe D. Hanebeck, Jannik Steinbring, Christof Chlebek, 2016, 2016 19th International Conference on Information Fusion (FUSION).

State estimation for ellipsoidally constrained dynamic systems with set-membership pseudo measurements

Uwe D. Hanebeck, Marcus Baum, Benjamin Noack, 2015, 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Reducing bias in Bayesian shape estimation

Uwe D. Hanebeck, Florian Faion, Antonio Zea, 2014, 17th International Conference on Information Fusion (FUSION).

Reconstruction of joint covariances in networked linear systems

Uwe D. Hanebeck, Benjamin Noack, Marc Reinhardt, 2014, 2014 48th Annual Conference on Information Sciences and Systems (CISS).

Distributed greedy sensor scheduling for model-based reconstruction of space-time continuous physical phenomena

Uwe D. Hanebeck, Marco F. Huber, Achim Kuwertz, 2009, 2009 12th International Conference on Information Fusion.

Recursive estimation of orientation based on the Bingham distribution

Gerhard Kurz, Uwe D. Hanebeck, Igor Gilitschenski, 2013, Proceedings of the 16th International Conference on Information Fusion.

Semi-analytic progressive Gaussian filtering

Uwe D. Hanebeck, Antonio Zea, Jannik Steinbring, 2016, 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Association-free direct filtering of multi-target random finite sets with set distance measures

Uwe D. Hanebeck, Marcus Baum, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Data association in a world model for autonomous systems

Uwe D. Hanebeck, Marcus Baum, Andrey Belkin, 2010, 2010 IEEE Conference on Multisensor Fusion and Integration.

Fitting conics to noisy data using stochastic linearization

Uwe D. Hanebeck, Marcus Baum, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Generalized covariance intersection based on noise decomposition

Uwe D. Hanebeck, Sanjeev Kulkarni, Marc Reinhardt, 2014, 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI).

Datenfusion in der Automatisierungstechnik

Uwe D. Hanebeck, Hartwig U. Steusloff, 2005, Autom..

Closed-form bias reduction for shape estimation with polygon models

Uwe D. Hanebeck, Florian Faion, Antonio Zea, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Teaching Fuzzy Logic Control Design Through Laboratory Experiments and Student Projects

Uwe D. Hanebeck, Günther Schmidt, 1993 .

WLAN-Based Pedestrian Tracking Using Particle Filters and Low-Cost MEMS Sensors

Andrei Szabo, Hui Wang, Uwe D. Hanebeck, 2007, 2007 4th Workshop on Positioning, Navigation and Communication.

Fourier density approximation for belief propagation in wireless sensor networks

Uwe D. Hanebeck, Dragan Obradovic, Chongning Na, 2008 .

Kalman filter-based SLAM with unknown data association using Symmetric Measurement Equations

Uwe D. Hanebeck, Marcus Baum, Benjamin Noack, 2015, 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Dirac mixture approximation of multivariate Gaussian densities

Uwe D. Hanebeck, Marco F. Huber, Vesa Klumpp, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Recursive nonlinear filtering for angular data based on circular distributions

Gerhard Kurz, Uwe D. Hanebeck, Igor Gilitschenski, 2013, 2013 American Control Conference.

Inverse covariance intersection: New insights and properties

Uwe D. Hanebeck, Benjamin Noack, Joris Sijs, 2017, 2017 20th International Conference on Information Fusion (Fusion).

Treatment of dependent information in multisensor kalman filtering and data fusion

Uwe D. Hanebeck, Benjamin Noack, Joris Sijs, 2017 .

Nonlinear Bayesian estimation with convex sets of probability densities

Uwe D. Hanebeck, Benjamin Noack, Vesa Klumpp, 2008, 2008 11th International Conference on Information Fusion.

A non-parametric inference technique for shape boundaries in noisy point clouds

Uwe D. Hanebeck, Florian Faion, Antonio Zea, 2017, 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Information form distributed Kalman filtering (IDKF) with explicit inputs

Uwe D. Hanebeck, Felix Govaers, Benjamin Noack, 2017, 2017 20th International Conference on Information Fusion (Fusion).

Hyperspherical Dirac Mixture Reapproximation pdf

Uwe D. Hanebeck, Florian Pfaff, Kailai Li, 2021, ArXiv.

Deterministic Sampling on the Circle Using Projected Cumulative Distributions pdf

Uwe D. Hanebeck, Daniel Frisch, U. Hanebeck, 2021, 2022 25th International Conference on Information Fusion (FUSION).

Haptic Rendering of Arbitrary Serial Manipulators for Robot Programming

Uwe D. Hanebeck, Antonio Zea, Michael Fennel, 2022, IEEE Control Systems Letters.

Learning and Exploiting Partial Knowledge in Distributed Estimation

Jirí Ajgl, Ondrej Straka, Uwe D. Hanebeck, 2021, 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

RTCF: A framework for seamless and modular real-time control with ROS

Uwe D. Hanebeck, Stefan Geyer, Michael Fennel, 2021, Softw. Impacts.

Haptic-Guided Path Generation for Remote Car-Like Vehicles

Uwe D. Hanebeck, Antonio Zea, Michael Fennel, 2021, IEEE Robotics and Automation Letters.

Cooperative Unscented Kalman Filler with Bank of Scaling Parameter Values

Ondrej Straka, Uwe D. Hanebeck, Jindrich Duník, 2021, 2021 IEEE 24th International Conference on Information Fusion (FUSION).

Kalman Filtered Compressive Sensing Using Pseudo-Measurements

Uwe D. Hanebeck, Michael Beigl, Benjamin Noack, 2021, 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Deterministic Gaussian Sampling With Generalized Fibonacci Grids

Uwe D. Hanebeck, Daniel Frisch, 2021, 2021 IEEE 24th International Conference on Information Fusion (FUSION).

Adaptive Sampling for Global Meta Modeling Using a Gaussian Process Variance Measure

Uwe D. Hanebeck, Antonio Zea, Johannes Westermann, 2021, 2021 European Control Conference (ECC).

Gaussian Mixture Estimation from Weighted Samples

Uwe D. Hanebeck, Daniel Frisch, 2021, 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Shape Estimation and Tracking using Spherical Double Fourier Series for Three-Dimensional Range Sensors

Uwe D. Hanebeck, Antonio Zea, Johannes Reuter, 2021, 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Deep Likelihood Learning for 2-D Orientation Estimation Using a Fourier Filter

Uwe D. Hanebeck, Florian Pfaff, Kailai Li, 2021, 2021 IEEE 24th International Conference on Information Fusion (FUSION).

Motion-based visual inspection of optically indiscernible defects on the example of hazelnuts

Jürgen Beyerer, Uwe D. Hanebeck, Georg Maier, 2021, Comput. Electron. Agric..

Cryptographically Privileged State Estimation With Gaussian Keystreams

Uwe D. Hanebeck, Benjamin Noack, Marko Ristic, 2022, IEEE Control Systems Letters.

Conditional Densities and Likelihoods for Hypertoroidal Densities Based on Trigonometric Polynomials

Uwe D. Hanebeck, Florian Pfaff, Kailai Li, 2021, 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Tracking extended objects using extrusion Random Hypersurface Models

Uwe D. Hanebeck, Florian Faion, Antonio Zea, 2014, 2014 Sensor Data Fusion: Trends, Solutions, Applications (SDF).

Bayesian estimation of line segments

Uwe D. Hanebeck, Florian Faion, Antonio Zea, 2014, 2014 Sensor Data Fusion: Trends, Solutions, Applications (SDF).

Affordance-Based Grasping and Manipulation in Real World Applications

Uwe D. Hanebeck, Tamim Asfour, Antonio Zea, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

New estimators for mixed stochastic and set theoretic uncertainty models: The general case

Uwe D. Hanebeck, Joachim Horn, 2001, 2001 European Control Conference (ECC).

DecentralizedDataFusionwith InverseCovariance Intersection

Uwe D. Hanebeck, Benjamin Noack, Joris Sijs, 2017 .

Trigonometric moment matching and minimization of the Kullback-Leibler divergence

Gerhard Kurz, Uwe D. Hanebeck, 2015, IEEE Transactions on Aerospace and Electronic Systems.

A tight bound for the joint covariance of two random vectors with unknown but constrained cross-correlation

Uwe D. Hanebeck, Joachim Horn, Kai Briechle, 2001, Conference Documentation International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI 2001 (Cat. No.01TH8590).

Moment-based Dirac Mixture Approximation of Circular Densities

Uwe D. Hanebeck, Anders Lindquist, U. Hanebeck, 2014 .

Incorporating prior knowledge into nonparametric conditional density estimation

Uwe D. Hanebeck, Peter Krauthausen, Masoud Roschani, 2011, Proceedings of the 2011 American Control Conference.

Automatic Exploitation of Independencies for Covariance Bounding in Fully Decentralized Estimation

Uwe D. Hanebeck, Marcus Baum, Benjamin Noack, 2011 .

Nonlinear set-theoretic position estimation of cellular phones

Uwe D. Hanebeck, Joachim Horn, Kai Heesche, 2003, 2003 European Control Conference (ECC).

Optimal filtering for polynomial measurement nonlinearities with additive non-Gaussian noise

Uwe D. Hanebeck, U. Hanebeck, 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

New results for state estimation in the presence of mixed stochastic and set theoretic uncertainties

Uwe D. Hanebeck, Joachim Horn, U. Hanebeck, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

Multivariate angular filtering using fourier series

Gerhard Kurz, Uwe D. Hanebeck, Florian Pfaff, 2016 .

Absolute Localization of Fast Mobile Robots Based on an Angle Measurement Technique

Uwe D. Hanebeck, G. Schmidt, 1995 .

Dirac Mixture Approximation for Nonlinear Stochastic Filtering

Uwe D. Hanebeck, Oliver C. Schrempf, O. C. Schrempf, 2009 .

New estimators for mixed stochastic and set theoretic uncertainty models: The vector case

Uwe D. Hanebeck, Joachim Horn, U. Hanebeck, 1999, 1999 European Control Conference (ECC).

Semi-analytic Gaussian Assumed Density Filter

Uwe D. Hanebeck, Frederik Beutler, Marco F. Huber, 2011, Proceedings of the 2011 American Control Conference.

Nonlinear information filtering for distributed multisensor data fusion

Uwe D. Hanebeck, Benjamin Noack, Matthias Nagel, 2011, Proceedings of the 2011 American Control Conference.

New estimators for mixed stochastic and set theoretic uncertainty models: the scalar measurement case

Uwe D. Hanebeck, Joachim Horn, U. Hanebeck, 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).

Hyperspherical Unscented Particle Filter for Nonlinear Orientation Estimation

Uwe D. Hanebeck, Kailai Li, Florian Pfaff, 2020 .

Progressive Bayesian estimation for nonlinear discrete-time systems:the filter step for scalar measurements and multidimensional states

Uwe D. Hanebeck, O. Feiermann, U. Hanebeck, 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

(Semi-)Analytic Gaussian Mixture Filter

Uwe D. Hanebeck, Frederik Beutler, Marco F. Huber, 2011 .

The Spherical Grid Filter for Nonlinear Estimation on the Unit Sphere

Uwe D. Hanebeck, Kailai Li, Florian Pfaff, 2020 .

Progressive Bayesian estimation for nonlinear discrete-time systems: the measurement step

Uwe D. Hanebeck, 2003, Proceedings of IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI2003..

Parameterized joint densities with Gaussian mixture marginals and their potential use in nonlinear robust estimation

Uwe D. Hanebeck, Felix Sawo, Dietrich Brunn, 2006, 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control.

A direct method for checking overlap of two hyperellipsoids

Uwe D. Hanebeck, Igor Gilitschenski, U. Hanebeck, 2014, 2014 Sensor Data Fusion: Trends, Solutions, Applications (SDF).

Localization of fast mobile robots based on an advanced angle-measurement technique

Uwe D. Hanebeck, Günther Schmidt, 1996 .