Lehrstuhl für Allgemeine Elektrotechnik und Theoretische Nachrichtentechnik
Prof. Dr.- Ing. Anton Kummert
Prof. Dr.-Ing. Anton Kummert
|Telefon:||+49 (0)202 439 1961|
Density Measurements from a Top-View Position using a Time-of-Flight Camera
of the 8th International Workshop on Multidimensional (nD) Systems (nDS'13) , Seite 193 - 198.
Tomographical object detection using a reduced number of projection angles
of the 8th International Workshop on Multidimensional (nD) Systems (nDS'13) , Seite 181 - 186.
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.
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.
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.
Repetitive process based iterative learning control for a two motors system
of the IEEE International Conference on Control Applications (CCA'12) , Seite 154 - 159.
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.
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.
Tomographical scene reconstruction in the active safety car project
of the 15th International IEEE Conference on Intelligent Transportation Systems (ITSC'12) , Seite 307 -312.
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
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.
On filtering by means of generalized integral images: a review and applicationsMultidimensional Systems and Signal Processing, 23(1):291-312
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.
Realization of multidimensional signal processing systems given in natural k-D state space descriptionMultidimensional Systems and Signal Processing, 23(1-2):281 - 290
Experimentally verified Iterative Learning Control based on repetitive process stability theory
of the American Control Conference (ACC'12) , Seite 604 - 609.
Montreal, QC, Canada