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Lehrstuhl für Allgemeine Elektrotechnik und Theoretische Nachrichtentechnik

Prof. Dr.- Ing. Anton Kummert

Prof. Dr.-Ing. Anton Kummert


Raum: FE 1.01
Telefon: +49 (0)202 439 1961
E-Mail: kummert{at}



Alexandros Gavriilidis; Carsten Stahlschmidt; Jörg Velten; Anton Kummert
Feature Recycling Cascaded SVM Classifier Based on Feature Selection of HOGs for Pedestrian Detection
in 6th International Conference on Multimedia Communications, Services and Security ( MCSS'13) , Seite 82 - 94.
Juni 2013
Krzysztof Galkowski; Bartlomiej Sulikowski; Anton Kummert
Ladder Circuits Modeling and Analysis in the Framework of Linear Two-dimensional (2D) Systems
of the 8th International Workshop on Multidimensional (nD) Systems (nDS'13) , Seite 151 - 156.
Bartlomiej Sulikowski; Krzysztof Galkowski; Anton Kummert; Eric Rogers
Repetitive process control theory applied to the modeling and control of ladder circuits
of the IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, , Seite 689 - 694.
Caen, France
Carsten Stahlschmidt; Alexandros Gavriilidis; Jörg Velten; Anton Kummert
People Detection and Tracking from a Top-View Position Using a Time-of-Flight Camera
in 6th International Conference on Multimedia Communications, Services and Security (MCSS'13) , Seite 213 - 223.
Krakow, Poland
Jörg Velten; Sam Schauland; Alexandros Gavriilidis; Tim Schwerdtfeger; Fritz Boschen; Anton Kummert
Tomographical scene reconstruction in the active safety car project
of the 15th International IEEE Conference on Intelligent Transportation Systems (ITSC'12) , Seite 307 -312.
September 2012

Schlüsselwörter: active safety car project, automobiles, Biomedical imaging, camera based measurements, cameras, driver assistance systems, driver information systems, driveway monitoring, Image reconstruction, radiographing, road safety, Signal processing algorithms, tomographical background information, tomographical scene reconstruction algorithm, Tomography, Vehicles, view camera, visual light rays, Visualization

Alexandros Gavriilidis; Jörg Velten; Anton Kummert; Stefan Müller-Schneiders; Dennis Müller
Sensor system blockage detection for night time headlight control based on camera and radar sensor information
of the 15th International IEEE Conference on Intelligent Transportation Systems (ITSC'12) , Seite 78 - 83.
Anchorage, USA
September 2012
ISBN: 978-1-4673-3064-0

Schlüsselwörter: Head light detection, Radar and camera sensor fusion, Sensor data fusion

Zusammenfassung: Driver assistance systems support overstrained and affected drivers and become more and more essential for series-production vehicles. In this paper a procedure for detection of a misaligned or blocked sensor system, including a radar and a camera sensor, will be introduced. It is important to inform the driver if an automatic headlight control is working reliable, in other words without limitations caused by external influence (e.g. dirt on the windscreen). The blockage detection algorithm is based on the fusion result of electronic radar measurements and a vision based head- and taillight detection algorithm. Results of the blockage detection algorithm are evaluated on misaligned measurements and online in a vehicle test system.

Wojciech Paszke; Eric Rogers; Paolo Rapisarda; Krzysztof Galkowski; Anton Kummert
New frequency domain based stability tests for 2D linear systems
of the 17th International Conference on Methods and Models in Automation and Robotics (MMAR'12) , Seite 9 - 14.
Miedzyzdroje, Poland
August 2012
Jörg Velten; Sam Schauland; Anton Kummert
Realization of multidimensional signal processing systems given in natural k-D state space description
Multidimensional Systems and Signal Processing, 23(1-2):281 - 290
Juni 2012
Anselm Haselhoff; Anton Kummert
On filtering by means of generalized integral images: a review and applications
Multidimensional Systems and Signal Processing, 23(1):291-312
Juni 2012
ISSN: 0923-6082

Schlüsselwörter: B-spline filters, feature extraction, Haar-like filters, Image representation, Integral images, object detection

Zusammenfassung: In this paper the method of multidimensional (n-D) filtering based on prior signal integration is analyzed. This method has the advantage that the computational complexity for filtering is independent of the filter kernel size. An overview of recent 2-D image processing systems is presented where these types of filters are applied. Based on this overview a framework that covers this class of filters is derived using repeated integration. These filters include for example rect and triangle-filters which can be used to approximate Gaussian derivative filters. Furthermore the normalization of the filters, computational complexity, and storage cost are discussed. Finally, two image processing systems which benefit from the application of the filters are presented. They belong to the topic of advanced driver assistance systems.

P. Dabkowski; Krzysztof Galkowski; Eric Rogers; Zhonglun Cai; Chris T. Freeman; Paul L. Lewin; Zdenek Hurak; Anton Kummert
Experimentally verified Iterative Learning Control based on repetitive process stability theory
of the American Control Conference (ACC'12) , Seite 604 - 609.
Montreal, QC, Canada
Juni 2012
Bartosz Palucki; Krzysztof Galkowski; Anton Kummert; Błażej Cichy
Wave repetitive process approach to a class of ladder circuits
of the IEEE International Symposium on Circuits and Systems (ISCAS'12) , Seite 950 - 953.
Seoul, Korea
Mai 2012
Lukasz Hladowski; Krzysztof Galkowski; Eric Rogers; Lan Zhou; Yong He; Anton Kummert
Repetitive process based iterative learning control for a two motors system
of the IEEE International Conference on Control Applications (CCA'12) , Seite 154 - 159.
Dubrovnik, Croatia
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