about me

I am a senior researcher at the Intelligent Sensor-Actuator-Systems (ISAS) laboratory, Karlsruhe Institute of Technology (KIT), Germany. 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 30, 2020 Our article for the IEEE Control Systems Letters has been accepted.
  • May 08, 2020 Our papers for the virtual FUSION 2020 conference has been accepted.
  • February 27, 2020 Three papers for the IFAC World Congress in Berlin, Germany, have been accepted.
  • January 15, 2020 Two articles for Automatisierungstechnik has been accepted.
  • January 14, 2020 Our article for the IEEE Transactions on Industrial Electronics has been accepted.
  • 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.

recent publications

  1. [1] S. Radtke, B. Noack, and U. D. Hanebeck, Fully Decentralized Estimation Using Square-Root Decompositions(to appear), in Proceedings of the 23rd International Conference on Information Fusion (Fusion 2020), Virtual, Jul. 2020. more
  2. [2] S. Radtke, B. Noack, and U. D. Hanebeck, Reconstruction of Cross-Correlations between Heterogeneous Trackers Using Deterministic Samples (to appear), in Proceedings of the 21st IFAC World Congress (IFAC 2020), Berlin, Germany, Jul. 2020. more
  3. [3] B. Noack, C. Funk, S. Radtke, and U. D. Hanebeck, State Estimation with Event-Based Inputs Using Stochastic Triggers (to appear), in Proceedings of the 21st IFAC World Congress (IFAC 2020), Berlin, Germany, Jul. 2020. more
  4. [4] K. Li, J. Cox, B. Noack, and U. D. Hanebeck, Improved Pose Graph Optimization for Planar Motions Using Riemannian Geometry on the Manifold of Dual Quaternions (to appear), in Proceedings of the 21st IFAC World Congress (IFAC 2020), Berlin, Germany, Jul. 2020. more
  5. [5] M. Ristic, B. Noack, and U. D. Hanebeck, Secure Fast Covariance Intersection Using Partially Homomorphic and Order Revealing Encryption Schemes (to appear), IEEE Control Systems Letters, Jun. 2020. more
  6. [6] F. Pfaff, C. Pieper, G. Maier, B. Noack, R. Gruna, H. Kruggel-Emden, U. D. Hanebeck, S. Wirtz, V. Scherer, T. Längle, and J. Beyerer, Predictive Tracking with Improved Motion Models for Optical Belt Sorting (to appear), at – Automatisierungstechnik, Apr. 2020. more
  7. [7] G. Maier, F. Pfaff, A. Bittner, R. Gruna, B. Noack, H. Kruggel-Emden, U. D. Hanebeck, T. Längle, and J. Beyerer, Characterizing Material Flow in Sensor-Based Sorting Systems Using an Instrumented Particle (to appear), at – Automatisierungstechnik, Apr. 2020. more
  8. [8] G. Maier, F. Pfaff, C. Pieper, R. Gruna, B. Noack, H. Kruggel-Emden, T. Längle, U. D. Hanebeck, and J. Beyerer, Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking, Transactions on Industrial Electronics, Feb. 2020. more