U
Uwe D. Hanebeck
Researcher at Karlsruhe Institute of Technology
Publications - 575
Citations - 9054
Uwe D. Hanebeck is an academic researcher from Karlsruhe Institute of Technology. The author has contributed to research in topics: Kalman filter & Gaussian. The author has an hindex of 39, co-authored 549 publications receiving 7977 citations. Previous affiliations of Uwe D. Hanebeck include Technische Universität München & IAR Systems.
Papers
More filters
Proceedings ArticleDOI
Localization of DECT mobile phones based on a new nonlinear filtering technique
Andreas Rauh,Kai Briechle,Uwe D. Hanebeck,Clemens Hoffmann,Joachim Bamberger,Marian Grigoras +5 more
TL;DR: In this paper, a prior density splitting Mixture Estimator (PDSME) is proposed for the localization of DECT mobile telephones in a scenario with several base stations and a mobile handset, where the received signal power, measured by the mobile handsets, is related to their position by nonlinear measurement equations.
Proceedings Article
Silhouette measurements for Bayesian object tracking in noisy point clouds
TL;DR: This work derives a general equation for the silhouette measurement update that explicitly considers segmentation uncertainty of each pixel and shows that the proposed approach dramatically improves point-cloud-based estimators, especially in the presence of high noise.
Proceedings ArticleDOI
Visual stabilization of beating heart motion by model-based transformation of image sequences
TL;DR: In contrast to existing methods for visual stabilization, the proposed approach involves a model-based transformation of image sequences provided by a camera system that incorporates the knowledge of physical characteristics of the heart in form of a mathematical model of theHeart surface.
Proceedings ArticleDOI
Joint Train Localization and Track Identification based on Earth Magnetic Field Distortions
TL;DR: The proposed train localization method uses local variations of the earth magnetic field to determine the topological position of a train in a track network using multiple particle filter, each estimating the position on different track hypothesis.
Proceedings ArticleDOI
Fast multitarget tracking via strategy switching for sensor-based sorting
Georg Maier,Florian Pfaff,Christoph Pieper,Robin Gruna,Benjamin Noack,Harald Kruggel-Emden,Thomas Längle,Uwe D. Hanebeck,Siegmar Wirtz,Viktor Scherer,Jürgen Beyerer +10 more
TL;DR: An approach for multitarget tracking in sensor-based sorting is proposed which supports establishing an upper bound regarding processing time required for solving the measurement to track association problem.