Prof. Ing Uwe D. Hanebeck Profile

Prof. Ing Uwe D. Hanebeck

Professor at Karlsruher Institut für Technologie

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Author

Publications (9)

Proceedings Article | 13 June 2014 Paper

Approximate calculation of marginal association probabilities using a hybrid data association model

Marcus Baum, Peter Willett, Yaakov Bar-Shalom, Uwe Hanebeck

Proceedings Volume 9092, 90920L (2014) https://doi.org/10.1117/12.2053431

KEYWORDS: Detection and tracking algorithms, Data modeling, Data integration, Coastal modeling, Target detection, Fermium, Algorithm development, Performance modeling, 3D modeling, Computer engineering

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Proceedings Article | 18 May 2012 Paper

Evaluation of tracking methods for maritime surveillance

Yvonne Fischer, Marcus Baum, Fabian Flohr, Uwe Hanebeck, Jürgen Beyerer

Proceedings Volume 8392, 839208 (2012) https://doi.org/10.1117/12.919234

KEYWORDS: Detection and tracking algorithms, Sensors, Visualization, Maritime surveillance, Monte Carlo methods, Data integration, Optical tracking, Electronic filtering, Process modeling, Distance measurement

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Proceedings Article | 8 September 2003 Paper

Motion compression for telepresent walking in large-scale remote environments

Norbert Nitzsche, Uwe Hanebeck, Guenther Schmidt

Proceedings Volume 5079, (2003) https://doi.org/10.1117/12.488379

KEYWORDS: Environmental sensing, Visualization, Detection and tracking algorithms, Virtual reality, Head, Information visualization, Sensors, Magnetic tracking, Mobile robots, Head-mounted displays

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Proceedings Article | 6 August 2003 Paper

Nonlinear set-theoretic localization of cellular phones

Joachim Horn, Uwe Hanebeck, Konrad Riegel, Kai Heesche, Werner Hauptmann

Proceedings Volume 5084, (2003) https://doi.org/10.1117/12.487805

KEYWORDS: Nonlinear filtering, Global system for mobile communications, Estimation theory, Linear filtering, Digital filtering, Complex systems, Antennas, Stochastic processes, Dynamical systems, Time metrology

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Proceedings Article | 6 August 2003 Paper

Localization of DECT mobile phones based on a new nonlinear filtering technique

Andreas Rauh, Kai Briechle, Uwe Hanebeck, Clemens Hoffmann, Joachim Bamberger, Marian Grigoras

Proceedings Volume 5084, (2003) https://doi.org/10.1117/12.487800

KEYWORDS: Nonlinear filtering, Transmitters, Stochastic processes, Motion models, Receivers, Filtering (signal processing), Gaussian filters, RF communications, Interference (communication), Error analysis

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Proceedings Article | 1 April 2003 Paper

Progressive Bayes: a new framework for nonlinear state estimation

Uwe Hanebeck, Kai Briechle, Andreas Rauh

Proceedings Volume 5099, (2003) https://doi.org/10.1117/12.487806

KEYWORDS: Distance measurement, Complex systems, Differential equations, Expectation maximization algorithms, Tolerancing, Dynamical systems, Nonlinear dynamics, Control systems, Statistical analysis, Optimization (mathematics)

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Proceedings Article | 22 March 2001 Paper

Efficient method for simultaneous map building and localization

Uwe Hanebeck, Joachim Horn

Proceedings Volume 4385, (2001) https://doi.org/10.1117/12.421123

KEYWORDS: Filtering (signal processing), Electronic filtering, Distance measurement, Cadmium, Matrices, Time metrology, Telecommunications, Copper, Information fusion, Automatic control

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Proceedings Article | 20 March 2001 Paper

Template matching using fast normalized cross correlation

Kai Briechle, Uwe Hanebeck

Proceedings Volume 4387, (2001) https://doi.org/10.1117/12.421129

KEYWORDS: Detection and tracking algorithms, Correlation function, Fourier transforms, Algorithm development, Image processing, Signal processing, Cameras, Automatic control, Digital signal processing, Optical pattern recognition

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Proceedings Article | 27 July 1999 Paper

New state estimator for a mixed stochastic and set theoretic uncertainty model

Uwe Hanebeck, Joachim Horn

Proceedings Volume 3720, (1999) https://doi.org/10.1117/12.357174

KEYWORDS: Stochastic processes, Error analysis, Estimation theory, Filtering (signal processing), Radon, Statistical analysis, Sensors, Data fusion, Statistical modeling, Sensor fusion

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Showing 5 of 9 publications

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