about me

I am a senior researcher at the Intelligent Sensor-Actuator-Systems (ISAS) laboratory, Karlsruhe Institute of Technology (KIT), Germany, and head of the Data Fusion in Networks Group. I have obtained my Ph.D. from Karlsruhe Institute of Technology under the supervision of Prof. Uwe D. Hanebeck (KIT) and Dr. Simon J. Julier (UCL, UK). On this website, you can find information about my work and research interests.

from observation to information

My research in the field of state estimation theory includes robust Kalman filtering, distributed and decentralized information processing for sensor networks, and event-based filtering. With state estimation, usable information can be extracted from sensor data — even under severe uncertainties. Quantifying uncertainty in predictions and estimates is essential for the assessment and design of robust filtering techniques. Further important challenges in developing filtering techniques arise from nonlinear process and sensor models and from spatially distributed systems. In view of these challenges, I’m interested in consistent and robust solutions.

research overview

news

  • May 08, 2019 Our article for the IEEE Control Systems Letters has been accepted.
  • May 07, 2019 Three papers for the FUSION conference in Ottawa, Canada, have been accepted.
  • March 22, 2019 Two papers for the MFI Conference in Taipei have been accepted.
  • February 20, 2019 Two Papers for the European Control Conference in Neaples have been accepted.
  • September 04, 2018 Our article for the Powder Technology journal has been accepted.
  • June 21, 2018 Our article for the IET Signal Processing journal has been accepted.
  • May 01, 2018 Three papers for the FUSION conference in Cambridge, United Kingdom, have been accepted.
  • March 27, 2018 Our article for the Sensors journal has been accepted.

recent publications

  1. [1] S. Radtke, B. Noack, and U. D. Hanebeck, Consistent Fusion in Networks Using Square-root Decompositions of Correlations, in Proceedings of the 22nd International Conference on Information Fusion (Fusion 2019), Ottawa, Canada, Jul. 2019. more
  2. [2] B. Noack, U. Orguner, and U. D. Hanebeck, Nonlinear Decentralized Data Fusion with Generalized Inverse Covariance Intersection, in Proceedings of the 22nd International Conference on Information Fusion (Fusion 2019), Ottawa, Canada, Jul. 2019. more
  3. [3] T. Kronauer, F. Pfaff, B. Noack, W. Tian, G. Maier, and U. D. Hanebeck, Feature-Aided Multitarget Tracking for Optical Belt Sorters, in Proceedings of the 22nd International Conference on Information Fusion (Fusion 2019), Ottawa, Canada, Jul. 2019. more
  4. [4] E. J. Schmitt, B. Noack, W. Krippner, and U. D. Hanebeck, Gaussianity-Preserving Event-Based State Estimation with an FIR-Based Stochastic Trigger, IEEE Control Systems Letters, vol. 3, no. 3, pp. 769–774, Jul. 2019. more
  5. [5] S. Radtke, B. Noack, and U. D. Hanebeck, Distributed Estimation with Unequal State Vectors using Deterministic Sample-based Fusion, in Proceedings of the 2019 European Control Conference (ECC 2019), Naples, Italy, Jun. 2019. more
  6. [6] K. Li, D. Frisch, B. Noack, and U. Hanebeck, Geometry-Driven Deterministic Sampling for Nonlinear Bingham Filtering, in Proceedings of the 2019 European Control Conference (ECC 2019), Naples, Italy, Jun. 2019. more
  7. [7] S. Özgen, S. Kohn, B. Noack, and U. D. Hanebeck, State Estimation with Model-Mismatch-Based Secrecy against Eavesdroppers, in Proceedings of the 2019 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2019), Taipei, Taiwan, May 2019. more
  8. [8] S. Radtke, K. Li, B. Noack, and U. D. Hanebeck, Comparative Study of Track-to-Track Fusion Methods for Cooperative Tracking with Bearing-only Measurements, in Proceedings of the 2019 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2019), Taipei, Taiwan, May 2019. more