Nonlinear Bayesian estimation with convex sets of probability densities. - Benjamin Noack; Vesa Klumpp; Dietrich Brunn; Uwe D. Hanebeck (FUSION, 2008)

State estimation with sets of densities considering stochastic and systematic errors. - Benjamin Noack; Vesa Klumpp; Uwe D. Hanebeck (FUSION, 2009)

Nonlinear Model Predictive Control Considering Stochastic and Systematic Uncertainties with Sets of Densities. - Achim Hekler; Daniel Lyons; Benjamin Noack; Uwe D. Hanebeck (CCA, 2010)

Decentralized Reconstruction of Continuous Distributed Phenomena based on Discrete Measurements. - Benjamin Noack (AlgoSyn, 2010)

Extended object and group tracking with Elliptic Random Hypersurface Models. - Marcus Baum; Benjamin Noack; Uwe D. Hanebeck (FUSION, 2010)

Combined set-theoretic and stochastic estimation: A comparison of the SSI and the CS filter. - Vesa Klumpp; Benjamin Noack; Marcus Baum; Uwe D. Hanebeck (FUSION, 2010)

Bounding linearization errors with sets of densities in approximate Kalman filtering. - Benjamin Noack; Vesa Klumpp; Nikolay Petkov; Uwe D. Hanebeck (FUSION, 2010)

Reliable estimation of heart surface motion under stochastic and unknown but bounded systematic uncertainties. - Evgeniya Bogatyrenko; Benjamin Noack; Uwe D. Hanebeck (IROS, 2010)

A Log-Ratio Information Measure for Stochastic Sensor Management. - Daniel Lyons; Benjamin Noack; Uwe D. Hanebeck (SUTC/UMC, 2010)

Nonlinear information filtering for distributed multisensor data fusion. - Benjamin Noack; Daniel Lyons; Matthias Nagel 001; Uwe D. Hanebeck (ACC, 2011)

Mixture Random Hypersurface Models for tracking multiple extended objects. - Marcus Baum; Benjamin Noack; Uwe D. Hanebeck (CDC/ECC, 2011)

An Experimental Evaluation of Position Estimation Methods for Person Localization in Wireless Sensor Networks. - Johannes Schmid; Frederik Beutler; Benjamin Noack; Uwe D. Hanebeck; Klaus D. Müller-Glaser (EWSN, 2011)

Optimal Gaussian filtering for polynomial systems applied to association-free multi-target tracking. - Marcus Baum; Benjamin Noack; Frederik Beutler; Dominik Itte; Uwe D. Hanebeck (FUSION, 2011)

Covariance intersection in nonlinear estimation based on pseudo Gaussian densities. - Benjamin Noack; Marcus Baum; Uwe D. Hanebeck (FUSION, 2011)

Analysis of set-theoretic and stochastic models for fusion under unknown correlations. - Marc Reinhardt; Benjamin Noack; Marcus Baum; Uwe D. Hanebeck (FUSION, 2011)

Optimal Kalman gains for combined stochastic and set-membership state estimation. - Benjamin Noack; Florian Pfaff; Uwe D. Hanebeck (CDC, 2012)

Decentralized control based on globally optimal estimation. - Marc Reinhardt; Benjamin Noack; Uwe D. Hanebeck (CDC, 2012)

Pushing Kalman's idea to the extremes. - Alessio Benavoli; Benjamin Noack (FUSION, 2012)

Combined stochastic and set-membership information filtering in multisensor systems. - Benjamin Noack; Florian Pfaff; Uwe D. Hanebeck (FUSION, 2012)

On optimal distributed Kalman filtering in non-ideal situations. - Marc Reinhardt; Benjamin Noack; Uwe D. Hanebeck (FUSION, 2012)

Closed-form optimization of covariance intersection for low-dimensional matrices. - Marc Reinhardt; Benjamin Noack; Uwe D. Hanebeck (FUSION, 2012)

The Hypothesizing Distributed Kalman Filter. - Marc Reinhardt; Benjamin Noack; Uwe D. Hanebeck (MFI, 2012)

An empirical method to fuse partially overlapping state vectors for distributed state estimation. - Joris Sijs; Uwe D. Hanebeck; Benjamin Noack (ECC, 2013)

Nonlinear federated filtering. - Benjamin Noack; Simon J. Julier; Marc Reinhardt; Uwe D. Hanebeck (FUSION, 2013)

Data validation in the presence of stochastic and set-membership uncertainties. - Florian Pfaff; Benjamin Noack; Uwe D. Hanebeck (FUSION, 2013)

Advances in hypothesizing distributed Kalman filtering. - Marc Reinhardt; Benjamin Noack; Uwe D. Hanebeck (FUSION, 2013)

Event-based state estimation with negative information. - Joris Sijs; Benjamin Noack; Uwe D. Hanebeck (FUSION, 2013)

Reconstruction of joint covariances in networked linear systems. - Marc Reinhardt; Benjamin Noack; Uwe D. Hanebeck (CISS, 2014)

Covariance Intersection in state estimation of dynamical systems. - Jirí Ajgl; Miroslav Simandl; Marc Reinhardt; Benjamin Noack; Uwe D. Hanebeck (FUSION, 2014)

On nonlinear track-to-track fusion with Gaussian mixtures. - Benjamin Noack; Marc Reinhardt; Uwe D. Hanebeck (FUSION, 2014)

Distributed Kalman filtering in the presence of packet delays and losses. - Marc Reinhardt; Benjamin Noack; Sanjeev Kulkarni 001; Uwe D. Hanebeck (FUSION, 2014)

A study on event triggering criteria for estimation. - Joris Sijs; Leon Kester; Benjamin Noack (FUSION, 2014)

State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties. - Benjamin Noack (KIT Scientific Publishing, 2014)

Treatment of biased and dependent sensor data in graph-based SLAM. - Benjamin Noack; Simon J. Julier; Uwe D. Hanebeck (FUSION, 2015)

Kalman filter-based SLAM with unknown data association using Symmetric Measurement Equations. - Marcus Baum; Benjamin Noack; Uwe D. Hanebeck (MFI, 2015)

State estimation for ellipsoidally constrained dynamic systems with set-membership pseudo measurements. - Benjamin Noack; Marcus Baum; Uwe D. Hanebeck (MFI, 2015)

TrackSort: Predictive tracking for sorting uncooperative bulk materials. - Florian Pfaff; Marcus Baum; Benjamin Noack; Uwe D. Hanebeck; Robin Gruna; Thomas Längle; Jürgen Beyerer (MFI, 2015)

Minimum Covariance Bounds for the Fusion under Unknown Correlations. - Marc Reinhardt; Benjamin Noack; Pablo O. Arambel; Uwe D. Hanebeck (IEEE Signal Process. Lett., 2015)

State estimation considering negative information with switching Kalman and ellipsoidal filtering. - Benjamin Noack; Florian Pfaff; Marcus Baum; Uwe D. Hanebeck (FUSION, 2016)

Optimal sample-based fusion for distributed state estimation. - Jannik Steinbring; Benjamin Noack; Marc Reinhardt; Uwe D. Hanebeck (FUSION, 2016)

Camera- and IMU-based pose tracking for augmented reality. - Florian Faion; Antonio Zea 001; Benjamin Noack; Jannik Steinbring; Uwe D. Hanebeck (MFI, 2016)

Fast multitarget tracking via strategy switching for sensor-based sorting. - Georg Maier; Florian Pfaff; Christoph Pieper; Robin Gruna; Benjamin Noack; Harald Kruggel-Emden; Thomas Längle; Uwe D. Hanebeck; Siegmar Wirtz; Viktor Scherer; Jürgen Beyerer (MFI, 2016)

Algebraic analysis of data fusion with ellipsoidal intersection. - Benjamin Noack; Joris Sijs; Uwe D. Hanebeck (MFI, 2016)

Simulation-based evaluation of predictive tracking for sorting bulk materials. - Florian Pfaff; Christoph Pieper; Georg Maier; Benjamin Noack; Harald Kruggel-Emden; Robin Gruna; Uwe D. Hanebeck; Siegmar Wirtz; Viktor Scherer; Thomas Längle; Jürgen Beyerer (MFI, 2016)

Inverse covariance intersection: New insights and properties. - Benjamin Noack; Joris Sijs; Uwe D. Hanebeck (FUSION, 2017)

Optimal distributed combined stochastic and set-membership state estimation. - Florian Pfaff; Benjamin Noack; Uwe D. Hanebeck (FUSION, 2017)

Information form distributed Kalman filtering (IDKF) with explicit inputs. - Florian Pfaff; Benjamin Noack; Uwe D. Hanebeck; Felix Govaers; Wolfgang Koch 001 (FUSION, 2017)

Distributed Kalman filtering with reduced transmission rate. - Katharina Dormann; Benjamin Noack; Uwe D. Hanebeck (MFI, 2017)

Improving multitarget tracking using orientation estimates for sorting bulk materials. - Florian Pfaff; Gerhard Kurz; Christoph Pieper; Georg Maier; Benjamin Noack; Harald Kruggel-Emden; Robin Gruna; Uwe D. Hanebeck; Siegmar Wirtz; Viktor Scherer; Thomas Längle; Jürgen Beyerer (MFI, 2017)

State estimation in networked control systems with delayed and lossy acknowledgments. - Florian Rosenthal; Benjamin Noack; Uwe D. Hanebeck (MFI, 2017)

Real-time motion prediction using the chromatic offset of line scan cameras. - Florian Pfaff; Georg Maier; Mikhail Aristov; Benjamin Noack; Robin Gruna; Uwe D. Hanebeck; Thomas Längle; Jürgen Beyerer; Christoph Pieper; Harald Kruggel-Emden; Siegmar Wirtz; Viktor Scherer (Autom., 2017)

Decentralized data fusion with inverse covariance intersection. - Benjamin Noack; Joris Sijs; Marc Reinhardt; Uwe D. Hanebeck (Autom., 2017)

Scheduling of Measurement Transmission in Networked Control Systems Subject to Communication Constraints. - Florian Rosenthal; Benjamin Noack; Uwe D. Hanebeck (ACC, 2018)

Encrypted Multisensor Information Filtering. - Mikhail Aristov; Benjamin Noack; Uwe D. Hanebeck; Jörn Müller-Quade (FUSION, 2018)

Retrodiction of Data Association Probabilities via Convex Optimization. - Selim Ozgen; Florian Rosenthal; Jana Mayer; Benjamin Noack; Uwe D. Hanebeck; Marco F. Huber (FUSION, 2018)

Reconstruction of Cross-Correlations with Constant Number of Deterministic Samples. - Susanne Radtke; Benjamin Noack; Uwe D. Hanebeck; Ondrej Straka (FUSION, 2018)

Wavefront Orientation Estimation Based on Progressive Bingham Filtering. - Kailai Li 001; Daniel Frisch; Susanne Radtke; Benjamin Noack; Uwe D. Hanebeck (SDF, 2018)

Directional splitting of Gaussian density in non-linear random variable transformation. - Jindrich Duník; Ondrej Straka; Benjamin Noack; Jannik Steinbring; Uwe D. Hanebeck (IET Signal Process., 2018)

Optimally Distributed Kalman Filtering with Data-Driven Communication. - Katharina Dormann; Benjamin Noack; Uwe D. Hanebeck (Sensors, 2018)

Geometry-driven Deterministic Sampling for Nonlinear Bingham Filtering. - Kailai Li 001; Daniel Frisch; Benjamin Noack; Uwe D. Hanebeck (ECC, 2019)

Distributed Estimation with Partially Overlapping States based on Deterministic Sample-based Fusion. - Susanne Radtke; Benjamin Noack; Uwe D. Hanebeck (ECC, 2019)

Feature-Aided Multitarget Tracking for Optical Belt Sorters. - Tobias Kronauer; Florian Pfaff; Benjamin Noack; Wei Tiant; Georg Maier; Uwe D. Hanebeck (FUSION, 2019)

Nonlinear Decentralized Data Fusion with Generalized Inverse Covariance Intersection. - Benjamin Noack; Umut Orguner; Uwe D. Hanebeck (FUSION, 2019)

Distributed Estimation using Square Root Decompositions of Dependent Information. - Susanne Radtke; Benjamin Noack; Uwe D. Hanebeck (FUSION, 2019)

State Estimation with Model-Mismatch-Based Secrecy against Eavesdroppers. - Selim Özgen; Saskia Kohn; Benjamin Noack; Uwe D. Hanebeck (ICPS, 2019)

Comparative Study of Track-to-Track Fusion Methods for Cooperative Tracking with Bearings-only Measurements. - Susanne Radtke; Kailai Li 001; Benjamin Noack; Uwe D. Hanebeck (ICPS, 2019)

Improved Pose Graph Optimization for Planar Motions Using Riemannian Geometry on the Manifold of Dual Quaternions. - Kailai Li 001; Johannes Cox; Benjamin Noack; Uwe D. Hanebeck (CoRR, 2019)

Gaussianity-Preserving Event-Based State Estimation With an FIR-Based Stochastic Trigger. - Eva Julia Schmitt; Benjamin Noack; Wolfgang Krippner; Uwe D. Hanebeck (IEEE Control. Syst. Lett., 2019)

Real-time multitarget tracking for sensor-based sorting - A new implementation of the auction algorithm for graphics processing units. - Georg Maier; Florian Pfaff; Matthias Wagner 005; Christoph Pieper; Robin Gruna; Benjamin Noack; Harald Kruggel-Emden; Thomas Längle; Uwe D. Hanebeck; Siegmar Wirtz; Viktor Scherer; Jürgen Beyerer (J. Real Time Image Process., 2019)

Fully Decentralized Estimation Using Square-Root Decompositions. - Susanne Radtke; Benjamin Noack; Uwe D. Hanebeck (FUSION, 2020)

Conservative Quantization of Fast Covariance Intersection. - Christopher Funk; Benjamin Noack; Uwe D. Hanebeck (MFI, 2020)

Characterizing material flow in sensor-based sorting systems using an instrumented particle. - Georg Maier; Florian Pfaff; Andrea Bittner; Robin Gruna; Benjamin Noack; Harald Kruggel-Emden; Uwe D. Hanebeck; Thomas Längle; Jürgen Beyerer (Autom., 2020)

Predictive tracking with improved motion models for optical belt sorting. - Florian Pfaff; Christoph Pieper; Georg Maier; Benjamin Noack; Robin Gruna; Harald Kruggel-Emden; Uwe D. Hanebeck; Siegmar Wirtz; Viktor Scherer; Thomas Längle; Jürgen Beyerer (Autom., 2020)

Kalman Filtered Compressive Sensing Using Pseudo-Measurements. - Haibin Zhao; Christopher Funk; Benjamin Noack; Uwe D. Hanebeck; Michael Beigl (MFI, 2021)

Secure Fast Covariance Intersection Using Partially Homomorphic and Order Revealing Encryption Schemes. - Marko Ristic; Benjamin Noack; Uwe D. Hanebeck (IEEE Control. Syst. Lett., 2021)

Conservative Quantization of Covariance Matrices with Applications to Decentralized Information Fusion. - Christopher Funk; Benjamin Noack; Uwe D. Hanebeck (Sensors, 2021)

Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking. - Georg Maier; Florian Pfaff; Christoph Pieper; Robin Gruna; Benjamin Noack; Harald Kruggel-Emden; Thomas Längle; Uwe D. Hanebeck; Siegmar Wirtz; Viktor Scherer; Jürgen Beyerer (IEEE Trans. Ind. Electron., 2021)

Privileged Estimate Fusion With Correlated Gaussian Keystreams. - Marko Ristic; Benjamin Noack (CDC, 2022)

Event-Based Kalman Filtering Exploiting Correlated Trigger Information. - Benjamin Noack; Clemens Öhl; Uwe D. Hanebeck (FUSION, 2022)

Encrypted Fast Covariance Intersection Without Leaking Fusion Weights. - Marko Ristic; Benjamin Noack (MFI, 2022)

Cryptographically Privileged State Estimation With Gaussian Keystreams. - Marko Ristic; Benjamin Noack; Uwe D. Hanebeck (IEEE Control. Syst. Lett., 2022)

Graduated Moving Window Optimization as a Flexible Framework for Multi-Object Tracking. - Christopher Funk; Benjamin Noack (ACC, 2023)

Productive teaming under uncertainty: when a human and a machine classify objects together. - Anne Rother; Gunther Notni; Alexander Hasse; Benjamin Noack; Christian Beyer; Jan Reißmann; Chen Zhang; Marco Ragni; Julia C. Arlinghaus; Myra Spiliopoulou (ARSO, 2023)

Conservative Data Reduction for Covariance Matrices Using Elementwise Event Triggers. - Christopher Funk; Benjamin Noack (FUSION, 2023)

Statistical Approach for Preload Monitoring of Ball Screw Drives. - Jana Mayer; Vesa Klumpp; Jonas Hillenbrand; Benjamin Noack (SENSORS, 2023)

Classification of Uncertainty Sources for Reliable Bayesian Estimation. - Jindrich Duník; Ondrej Straka; Benjamin Noack (SDF-MFI, 2023)

Event-based Colored-Noise Kalman Filtering for Improved Resource Effiency. - Eva Julia Schmitt; Benjamin Noack (SDF-MFI, 2023)

Exploiting Structure for Optimal Multi-Agent Bayesian Decentralized Estimation. - Christopher Funk; Ofer Dagan; Benjamin Noack; Nisar R. Ahmed (CoRR, 2023)

Receding Horizon Cost-Aware Adaptive Sampling for Environmental Monitoring. - Johannes Westermann; Jana Mayer; Janko Petereit; Benjamin Noack (IEEE Control. Syst. Lett., 2023)

Discriminative feature learning through feature distance loss. - Tobias Schlagenhauf; Yiwen Lin; Benjamin Noack (Mach. Vis. Appl., 2023)

Distributed Range-Only Localization That Preserves Sensor and Navigator Privacies. - Marko Ristic; Benjamin Noack; Uwe D. Hanebeck (IEEE Trans. Autom. Control., 2023)

Conservative Compression of Information Matrices using Event-Triggering and Robust Optimization. - Christopher Funk; Benjamin Noack (FUSION, 2024)

Event-based Multisensor Fusion with Correlated Estimates. - Eva Julia Schmitt; Benjamin Noack (FUSION, 2024)

Simultaneous Gas Exploration and Network Localization with Robotic Swarms. - Fabio Broghammer; Thomas Wiedemann 002; Siwei Zhang; Benjamin Noack (ICASSP Workshops, 2024)

Feature Ranking for the Prediction of Energy Consumption on CNC Machining Processes. - Hafez Kader; Robin Ströbel; Alexander Puchta; Jürgen Fleischer; Benjamin Noack; Myra Spiliopoulou (MFI, 2024)

Consistent Stochastic Event-based Estimation Under Packet Losses Using Low-Cost Sensors. - Eva Julia Schmitt; Benjamin Noack (MFI, 2024)

Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach. - Hafez Kader; Steven C. Marcrum; Milena Engelke; Niklas K. Edvall; Berthold Langguth; Birgit Mazurek; Jose Antonio Lopez-Escamez; Dimitrios Kikidis; Rilana Cima; Patrick Neff; Winfried Schlee; Christopher R. Cederroth; et al. (CBMS, 2025)

Hybrid Machine Learning for CNC Process Monitoring. - Robin Ströbel; Samuel Deucker; Hanlin Zhou; Hafez Kader; Alexander Puchta; Benjamin Noack; Jürgen Fleischer (IEEE Access, 2025)

Towards Safe Path Tracking Using the Simplex Architecture. - Georg Jäger; Nils-Jonathan Friedrich; Hauke Petersen; Benjamin Noack (CoRR, 2025)

A Unified Framework for Innovation-based Stochastic and Deterministic Event Triggers. - Eva Julia Schmitt; Benjamin Noack (CoRR, 2025)

An Event-Based Approach for the Conservative Compression of Covariance Matrices. - Christopher Funk; Benjamin Noack (IEEE Trans. Autom. Control., 2025)