Publications

Kailai Li, Florian Pfaff, and Uwe Hanebeck. Progressive von Mises-Fisher Filtering Using Isotropic Sample Sets for Nonlinear Hyperspherical Estimation. Sensors, (21)April 2021. [PUMA: 2021ias ias]

Georg Maier, Marcel Reith-Braun, Albert Bauer, Robin Gruna, Florian Pfaff, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, and Jürgen Beyerer. Simulation study and experimental validation of a neural network-based predictive tracking system for sensor-based sorting. tm - Technisches Messen, (90)7-8:489--499, 2023. [PUMA: 2023ias ias] URL

Antonia Arias, H.P. Et, Florian Pfaff, and Uwe Hanebeck. The plenhaptic guidance function for intuitive navigation in extended range telepresence scenarios. 475 - 480, July 2011. [PUMA: 2011ias ias]

Benjamin Noack, Florian Pfaff, and Uwe D Hanebeck. Combined stochastic and set-membership information filtering in multisensor systems. 2012 15th International Conference on Information Fusion, 1218--1224, 2012. [PUMA: 2012ias ias]

Florian Pfaff, Benjamin Noack, and Uwe Hanebeck. Data Validation in the Presence of Stochastic and Set-membership Uncertainties. Proceedings of the 16th International Conference on Information Fusion, FUSION 2013, July 2013. [PUMA: 2013ias ias]

Florian Pfaff, Gerhard Kurz, and Uwe Hanebeck. Multimodal Circular Filtering Using Fourier Series. July 2015. [PUMA: 2015ias ias]

Florian Pfaff, Marcus Baum, Benjamin Noack, Uwe Hanebeck, Robin Gruna, Thomas Längle, and Jürgen Beyerer. TrackSort: Predictive tracking for sorting uncooperative bulk materials. 7--12, September 2015. [PUMA: 2015ias ias]

Florian Pfaff, Gerhard Kurz, and Uwe Hanebeck. Nonlinear Prediction for Circular Filtering Using Fourier Series. July 2016. [PUMA: 2016ias ias]

Benjamin Noack, Florian Pfaff, Marcus Baum, and Uwe D. Hanebeck. State estimation considering negative information with switching Kalman and ellipsoidal filtering. 2016 19th International Conference on Information Fusion (FUSION), 1945-1952, 2016. [PUMA: 2016ias ias]

Gerhard Kurz, Florian Pfaff, and Uwe Hanebeck. Kullback–Leibler Divergence and Moment Matching for Hyperspherical Probability Distributions. July 2016. [PUMA: 2016ias ias]

C. Pieper, H. Kruggel-Emden, S. Wirtz, V. Scherer, F. Pfaff, B. Noack, U. D. Hanebeck, G. Maier, R. Gruna, T. Längle, and J. Beyerer. Numerical investigation of optical sorting using the discrete element method. 7th International Conference on Discrete Element Methods, DEM7 2016, Dalian, China, 2016, 1 - 4 August, (188):1105-1113, Springer, 2017. [PUMA: 2017ias ias]

Jannik Steinbring, Christian Mandery, Florian Pfaff, Florian Faion, Tamim Asfour, and Uwe Hanebeck. Real-Time Whole-Body Human Motion Tracking Based on Unlabeled Markers. September 2016. [PUMA: 2016ias ias]

Florian Pfaff, Christoph Pieper, Georg Maier, Benjamin Noack, Harald Kruggel-Emden, Robin Gruna, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Thomas Langle, and Jürgen Beyerer. Simulation-based evaluation of predictive tracking for sorting bulk materials. 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Baden-Baden, Germany, 19–21 September 2016, 511–516, Institute of Electrical and Electronics Engineers (IEEE), 2016. [PUMA: 2016ias ias]

Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe Hanebeck, S. Wirtz, Viktor Scherer, and Jürgen Beyerer. Fast multitarget tracking via strategy switching for sensor-based sorting. 505-510, September 2016. [PUMA: 2016ias ias]

Gerhard Kurz, Florian Pfaff, and Uwe Hanebeck. Discrete Recursive Bayesian Filtering on Intervals and the Unit Circle. September 2016. [PUMA: 2016ias ias]

Georg Maier, Florian Pfaff, Florian Becker, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D Hanebeck, Siegmar Wirtz, and others. Improving material characterization in sensor-based sorting by utilizing motion information. KIT Scientific Publishing, 2018. [PUMA: 2018ias ias]

Florian Pfaff, Benjamin Noack, Uwe Hanebeck, Felix Govaers, and Wolfgang Koch. Information form distributed Kalman filtering (IDKF) with explicit inputs. 1-8, July 2017. [PUMA: 2017ias ias]

Benjamin Noack, Florian Pfaff, and Uwe Hanebeck. Optimal Kalman Gains for Combined Stochastic and Set-Membership State Estimation. Proceedings of the IEEE Conference on Decision and Control, December 2012. [PUMA: 2012ias ias]

Christoph Pieper, Siegmar Wirtz, Viktor Scherer, Georg Maier, Robin Gruna, Thomas Langle, Jürgen Beyerer, Florian Pfaff, Benjamin Noack, Uwe D. Hanebeck, and Harald Kruggel-Emden. Numerical modelling of the separation of complex shaped particles in an optical belt sorter using a dem-cfd approach and comparison with experiments. 5th International Conference on Particle-Based Methods - Fundamentals and Applications, PARTICLES 2017, Hannover, Germany, 26th - 28th September 2017, 373-384, International Centre for Numerical Methods in Engineering (CIMNE), 2017. [PUMA: 2017ias ias]

G. Kurz, F. Pfaff, and U. D. Hanebeck. Nonlinear toroidal filtering based on bivariate wrapped normal distributions. 20th International Conference on Information Fusion, Fusion 2017; Xi'an; China; 10 July 2017 through 13 July 2017, Art. Nr.: 8009831, Institute of Electrical and Electronics Engineers (IEEE), 2017. [PUMA: 2017ias ias]