Benjamin Noack

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 53

Top Venues

FUSION

MFI

IEEE Control. Syst. Lett.

CoRR

Karlsruhe Institute of Technology (PHD)

Education History

Karlsruhe Institute of Technology

PHD

Publications

Christopher Funk, Benjamin Noack
An Event-Based Approach for the Conservative Compression of Covariance Matrices. CoRR (2024)
Christopher Funk, Benjamin Noack
Conservative Data Reduction for Covariance Matrices Using Elementwise Event Triggers. FUSION (2023)
Anne Rother, Gunther Notni, Alexander Hasse, Benjamin Noack, Christian Beyer, Jan Reißmann, Chen Zhang, Marco Ragni, Julia C. Arlinghaus, Myra Spiliopoulou
Productive teaming under uncertainty: when a human and a machine classify objects together. ARSO (2023)
Jana Mayer, Vesa Klumpp, Jonas Hillenbrand, Benjamin Noack
Statistical Approach for Preload Monitoring of Ball Screw Drives. SENSORS (2023)
Christopher Funk, Benjamin Noack
Graduated Moving Window Optimization as a Flexible Framework for Multi-Object Tracking. ACC (2023)
Marko Ristic, Benjamin Noack, Uwe D. Hanebeck
Distributed Range-Only Localization That Preserves Sensor and Navigator Privacies. IEEE Trans. Autom. Control. 68 (12) (2023)
Tobias Schlagenhauf, Yiwen Lin, Benjamin Noack
Discriminative feature learning through feature distance loss. Mach. Vis. Appl. 34 (2) (2023)
Johannes Westermann, Jana Mayer, Janko Petereit, Benjamin Noack
Receding Horizon Cost-Aware Adaptive Sampling for Environmental Monitoring. IEEE Control. Syst. Lett. 7 (2023)
Christopher Funk, Ofer Dagan, Benjamin Noack, Nisar R. Ahmed
Exploiting Structure for Optimal Multi-Agent Bayesian Decentralized Estimation. CoRR (2023)
Tobias Schlagenhauf, Yiwen Lin, Benjamin Noack
Discriminative Feature Learning through Feature Distance Loss. CoRR (2022)
Marko Ristic, Benjamin Noack
Encrypted Fast Covariance Intersection Without Leaking Fusion Weights. MFI (2022)
Marko Ristic, Benjamin Noack, Uwe D. Hanebeck
Cryptographically Privileged State Estimation With Gaussian Keystreams. IEEE Control. Syst. Lett. 6 (2022)
Benjamin Noack, Clemens Öhl, Uwe D. Hanebeck
Event-Based Kalman Filtering Exploiting Correlated Trigger Information. FUSION (2022)
Marko Ristic, Benjamin Noack
Privileged Estimate Fusion With Correlated Gaussian Keystreams. CDC (2022)
Haibin Zhao, Christopher Funk, Benjamin Noack, Uwe D. Hanebeck, Michael Beigl
Kalman Filtered Compressive Sensing Using Pseudo-Measurements. MFI (2021)
Marko Ristic, Benjamin Noack, Uwe D. Hanebeck
Secure Fast Covariance Intersection Using Partially Homomorphic and Order Revealing Encryption Schemes. IEEE Control. Syst. Lett. 5 (1) (2021)
Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Jürgen Beyerer
Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking. IEEE Trans. Ind. Electron. 68 (2) (2021)
Christopher Funk, Benjamin Noack, Uwe D. Hanebeck
Conservative Quantization of Covariance Matrices with Applications to Decentralized Information Fusion. Sensors 21 (9) (2021)
Georg Maier, Florian Pfaff, Andrea Bittner, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Uwe D. Hanebeck, Thomas Längle, Jürgen Beyerer
Characterizing material flow in sensor-based sorting systems using an instrumented particle. Autom. 68 (4) (2020)
Susanne Radtke, Benjamin Noack, Uwe D. Hanebeck
Fully Decentralized Estimation Using Square-Root Decompositions. FUSION (2020)
Christopher Funk, Benjamin Noack, Uwe D. Hanebeck
Conservative Quantization of Fast Covariance Intersection. MFI (2020)
Florian Pfaff, Christoph Pieper, Georg Maier, Benjamin Noack, Robin Gruna, Harald Kruggel-Emden, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Thomas Längle, Jürgen Beyerer
Predictive tracking with improved motion models for optical belt sorting. Autom. 68 (4) (2020)
Susanne Radtke, Kailai Li, Benjamin Noack, Uwe D. Hanebeck
Comparative Study of Track-to-Track Fusion Methods for Cooperative Tracking with Bearings-only Measurements. ICPS (2019)
Tobias Kronauer, Florian Pfaff, Benjamin Noack, Wei Tiant, Georg Maier, Uwe D. Hanebeck
Feature-Aided Multitarget Tracking for Optical Belt Sorters. FUSION (2019)
Georg Maier, Florian Pfaff, Matthias Wagner, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Jürgen Beyerer
Real-time multitarget tracking for sensor-based sorting - A new implementation of the auction algorithm for graphics processing units. J. Real Time Image Process. 16 (6) (2019)
Selim Özgen, Saskia Kohn, Benjamin Noack, Uwe D. Hanebeck
State Estimation with Model-Mismatch-Based Secrecy against Eavesdroppers. ICPS (2019)
Susanne Radtke, Benjamin Noack, Uwe D. Hanebeck
Distributed Estimation with Partially Overlapping States based on Deterministic Sample-based Fusion. ECC (2019)
Eva Julia Schmitt, Benjamin Noack, Wolfgang Krippner, Uwe D. Hanebeck
Gaussianity-Preserving Event-Based State Estimation With an FIR-Based Stochastic Trigger. IEEE Control. Syst. Lett. 3 (3) (2019)
Kailai Li, Daniel Frisch, Benjamin Noack, Uwe D. Hanebeck
Geometry-driven Deterministic Sampling for Nonlinear Bingham Filtering. ECC (2019)
Kailai Li, Johannes Cox, Benjamin Noack, Uwe D. Hanebeck
Improved Pose Graph Optimization for Planar Motions Using Riemannian Geometry on the Manifold of Dual Quaternions. CoRR (2019)
Susanne Radtke, Benjamin Noack, Uwe D. Hanebeck
Distributed Estimation using Square Root Decompositions of Dependent Information. FUSION (2019)
Benjamin Noack, Umut Orguner, Uwe D. Hanebeck
Nonlinear Decentralized Data Fusion with Generalized Inverse Covariance Intersection. FUSION (2019)
Kailai Li, Daniel Frisch, Susanne Radtke, Benjamin Noack, Uwe D. Hanebeck
Wavefront Orientation Estimation Based on Progressive Bingham Filtering. SDF (2018)
Katharina Dormann, Benjamin Noack, Uwe D. Hanebeck
Optimally Distributed Kalman Filtering with Data-Driven Communication. Sensors 18 (4) (2018)
Susanne Radtke, Benjamin Noack, Uwe D. Hanebeck, Ondrej Straka
Reconstruction of Cross-Correlations with Constant Number of Deterministic Samples. FUSION (2018)
Mikhail Aristov, Benjamin Noack, Uwe D. Hanebeck, Jörn Müller-Quade
Encrypted Multisensor Information Filtering. FUSION (2018)
Jindrich Duník, Ondrej Straka, Benjamin Noack, Jannik Steinbring, Uwe D. Hanebeck
Directional splitting of Gaussian density in non-linear random variable transformation. IET Signal Process. 12 (9) (2018)
Selim Ozgen, Florian Rosenthal, Jana Mayer, Benjamin Noack, Uwe D. Hanebeck, Marco F. Huber
Retrodiction of Data Association Probabilities via Convex Optimization. FUSION (2018)
Florian Rosenthal, Benjamin Noack, Uwe D. Hanebeck
Scheduling of Measurement Transmission in Networked Control Systems Subject to Communication Constraints. ACC (2018)
Benjamin Noack, Joris Sijs, Marc Reinhardt, Uwe D. Hanebeck
Decentralized data fusion with inverse covariance intersection. Autom. 79 (2017)
Florian Rosenthal, Benjamin Noack, Uwe D. Hanebeck
State estimation in networked control systems with delayed and lossy acknowledgments. MFI (2017)
Florian Pfaff, Benjamin Noack, Uwe D. Hanebeck, Felix Govaers, Wolfgang Koch
Information form distributed Kalman filtering (IDKF) with explicit inputs. FUSION (2017)
Katharina Dormann, Benjamin Noack, Uwe D. Hanebeck
Distributed Kalman filtering with reduced transmission rate. MFI (2017)
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
Real-time motion prediction using the chromatic offset of line scan cameras. Autom. 65 (6) (2017)
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
Improving multitarget tracking using orientation estimates for sorting bulk materials. MFI (2017)
Florian Pfaff, Benjamin Noack, Uwe D. Hanebeck
Optimal distributed combined stochastic and set-membership state estimation. FUSION (2017)
Benjamin Noack, Joris Sijs, Uwe D. Hanebeck
Inverse covariance intersection: New insights and properties. FUSION (2017)
Jannik Steinbring, Benjamin Noack, Marc Reinhardt, Uwe D. Hanebeck
Optimal sample-based fusion for distributed state estimation. FUSION (2016)
Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Jürgen Beyerer
Fast multitarget tracking via strategy switching for sensor-based sorting. MFI (2016)
Benjamin Noack, Florian Pfaff, Marcus Baum, Uwe D. Hanebeck
State estimation considering negative information with switching Kalman and ellipsoidal filtering. FUSION (2016)
Florian Pfaff, Christoph Pieper, Georg Maier, Benjamin Noack, Harald Kruggel-Emden, Robin Gruna, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Thomas Längle, Jürgen Beyerer
Simulation-based evaluation of predictive tracking for sorting bulk materials. MFI (2016)
Florian Faion, Antonio Zea, Benjamin Noack, Jannik Steinbring, Uwe D. Hanebeck
Camera- and IMU-based pose tracking for augmented reality. MFI (2016)
Benjamin Noack, Joris Sijs, Uwe D. Hanebeck
Algebraic analysis of data fusion with ellipsoidal intersection. MFI (2016)
Marc Reinhardt, Benjamin Noack, Pablo O. Arambel, Uwe D. Hanebeck
Minimum Covariance Bounds for the Fusion under Unknown Correlations. IEEE Signal Process. Lett. 22 (9) (2015)
Benjamin Noack, Marcus Baum, Uwe D. Hanebeck
State estimation for ellipsoidally constrained dynamic systems with set-membership pseudo measurements. MFI (2015)
Marcus Baum, Benjamin Noack, Uwe D. Hanebeck
Kalman filter-based SLAM with unknown data association using Symmetric Measurement Equations. MFI (2015)
Florian Pfaff, Marcus Baum, Benjamin Noack, Uwe D. Hanebeck, Robin Gruna, Thomas Längle, Jürgen Beyerer
TrackSort: Predictive tracking for sorting uncooperative bulk materials. MFI (2015)
Benjamin Noack, Simon J. Julier, Uwe D. Hanebeck
Treatment of biased and dependent sensor data in graph-based SLAM. FUSION (2015)
Joris Sijs, Leon Kester, Benjamin Noack
A study on event triggering criteria for estimation. FUSION (2014)
Marc Reinhardt, Benjamin Noack, Sanjeev Kulkarni, Uwe D. Hanebeck
Distributed Kalman filtering in the presence of packet delays and losses. FUSION (2014)
Marc Reinhardt, Benjamin Noack, Uwe D. Hanebeck
Reconstruction of joint covariances in networked linear systems. CISS (2014)
Jirí Ajgl, Miroslav Simandl, Marc Reinhardt, Benjamin Noack, Uwe D. Hanebeck
Covariance Intersection in state estimation of dynamical systems. FUSION (2014)
Benjamin Noack, Marc Reinhardt, Uwe D. Hanebeck
On nonlinear track-to-track fusion with Gaussian mixtures. FUSION (2014)
Florian Pfaff, Benjamin Noack, Uwe D. Hanebeck
Data validation in the presence of stochastic and set-membership uncertainties. FUSION (2013)
Marc Reinhardt, Benjamin Noack, Uwe D. Hanebeck
Advances in hypothesizing distributed Kalman filtering. FUSION (2013)
Joris Sijs, Uwe D. Hanebeck, Benjamin Noack
An empirical method to fuse partially overlapping state vectors for distributed state estimation. ECC (2013)
Benjamin Noack, Simon J. Julier, Marc Reinhardt, Uwe D. Hanebeck
Nonlinear federated filtering. FUSION (2013)
Joris Sijs, Benjamin Noack, Uwe D. Hanebeck
Event-based state estimation with negative information. FUSION (2013)
Marc Reinhardt, Benjamin Noack, Uwe D. Hanebeck
On optimal distributed Kalman filtering in non-ideal situations. FUSION (2012)
Benjamin Noack, Florian Pfaff, Uwe D. Hanebeck
Combined stochastic and set-membership information filtering in multisensor systems. FUSION (2012)
Marc Reinhardt, Benjamin Noack, Uwe D. Hanebeck
Closed-form optimization of covariance intersection for low-dimensional matrices. FUSION (2012)
Alessio Benavoli, Benjamin Noack
Pushing Kalman's idea to the extremes. FUSION (2012)
Marc Reinhardt, Benjamin Noack, Uwe D. Hanebeck
The Hypothesizing Distributed Kalman Filter. MFI (2012)
Marc Reinhardt, Benjamin Noack, Uwe D. Hanebeck
Decentralized control based on globally optimal estimation. CDC (2012)
Benjamin Noack, Florian Pfaff, Uwe D. Hanebeck
Optimal Kalman gains for combined stochastic and set-membership state estimation. CDC (2012)
Marcus Baum, Benjamin Noack, Frederik Beutler, Dominik Itte, Uwe D. Hanebeck
Optimal Gaussian filtering for polynomial systems applied to association-free multi-target tracking. FUSION (2011)
Marcus Baum, Benjamin Noack, Uwe D. Hanebeck
Mixture Random Hypersurface Models for tracking multiple extended objects. CDC/ECC (2011)
Benjamin Noack, Marcus Baum, Uwe D. Hanebeck
Covariance intersection in nonlinear estimation based on pseudo Gaussian densities. FUSION (2011)
Johannes Schmid, Frederik Beutler, Benjamin Noack, Uwe D. Hanebeck, Klaus D. Müller-Glaser
An Experimental Evaluation of Position Estimation Methods for Person Localization in Wireless Sensor Networks. EWSN (2011)
Marc Reinhardt, Benjamin Noack, Marcus Baum, Uwe D. Hanebeck
Analysis of set-theoretic and stochastic models for fusion under unknown correlations. FUSION (2011)
Benjamin Noack, Daniel Lyons, Matthias Nagel, Uwe D. Hanebeck
Nonlinear information filtering for distributed multisensor data fusion. ACC (2011)
Marcus Baum, Benjamin Noack, Uwe D. Hanebeck
Extended object and group tracking with Elliptic Random Hypersurface Models. FUSION (2010)
Vesa Klumpp, Benjamin Noack, Marcus Baum, Uwe D. Hanebeck
Combined set-theoretic and stochastic estimation: A comparison of the SSI and the CS filter. FUSION (2010)
Benjamin Noack
Decentralized Reconstruction of Continuous Distributed Phenomena based on Discrete Measurements. AlgoSyn (2010)
Daniel Lyons, Benjamin Noack, Uwe D. Hanebeck
A Log-Ratio Information Measure for Stochastic Sensor Management. SUTC/UMC (2010)
Evgeniya Bogatyrenko, Benjamin Noack, Uwe D. Hanebeck
Reliable estimation of heart surface motion under stochastic and unknown but bounded systematic uncertainties. IROS (2010)
Achim Hekler, Daniel Lyons, Benjamin Noack, Uwe D. Hanebeck
Nonlinear Model Predictive Control Considering Stochastic and Systematic Uncertainties with Sets of Densities. CCA (2010)
Benjamin Noack, Vesa Klumpp, Nikolay Petkov, Uwe D. Hanebeck
Bounding linearization errors with sets of densities in approximate Kalman filtering. FUSION (2010)
Benjamin Noack, Vesa Klumpp, Uwe D. Hanebeck
State estimation with sets of densities considering stochastic and systematic errors. FUSION (2009)
Benjamin Noack, Vesa Klumpp, Dietrich Brunn, Uwe D. Hanebeck
Nonlinear Bayesian estimation with convex sets of probability densities. FUSION (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Benjamin Noack