about me

I am professor at the Otto von Guericke University Magdeburg and head the Autonomous Multisensor Systems group in the Institute of Intelligent Cooperating Systems (ICS). 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. Recent information can be found on ams.ovgu.de.

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 25, 2021 Our article for the IEEE Control Systems Letters has been accepted.
  • April 22, 2021 Our article on conservative covariance quantization for the journal Sensors has been accepted.
  • March 01, 2021 I became a Professor at the Otto von Guericke University, Magdeburg.
  • 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.

recent publications

  1. [1] M. Ristic, B. Noack, and U. D. Hanebeck, Cryptographically Privileged State EstimationWith Gaussian Keystreams (accepted), IEEE Control Systems Letters, May 2021. more
  2. [2] C. Funk, B. Noack, and U. D. Hanebeck, Conservative Quantization of Covariance Matrices with Applications to Decentralized Information Fusion, Sensors, vol. 21, no. 9, Apr. 2021. more
  3. [3] M. Ristic, B. Noack, and U. D. Hanebeck, Secure Fast Covariance Intersection Using Partially Homomorphic and Order Revealing Encryption Schemes, IEEE Control Systems Letters, vol. 5, no. 1, pp. 217–222, Jan. 2021. more
  4. [4] C. Funk, B. Noack, and U. D. Hanebeck, Conservative Quantization of Fast Covariance Intersection, in Proceedings of the 2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2020), Virtual, Sep. 2020. more
  5. [5] S. Radtke, B. Noack, and U. D. Hanebeck, Fully Decentralized Estimation Using Square-Root Decompositions, in Proceedings of the 23rd International Conference on Information Fusion (Fusion 2020), Virtual, Jul. 2020. more
  6. [6] S. Radtke, B. Noack, and U. D. Hanebeck, Reconstruction of Cross-Correlations between Heterogeneous Trackers Using Deterministic Samples, in Proceedings of the 21st IFAC World Congress (IFAC 2020), Berlin, Germany, Jul. 2020. more
  7. [7] B. Noack, C. Funk, S. Radtke, and U. D. Hanebeck, State Estimation with Event-Based Inputs Using Stochastic Triggers, in Proceedings of the 21st IFAC World Congress (IFAC 2020), Berlin, Germany, Jul. 2020. more
  8. [8] 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, in Proceedings of the 21st IFAC World Congress (IFAC 2020), Berlin, Germany, Jul. 2020. more

Benjamin Noack


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last modified 30/05/2021