Lehrstuhl für Allgemeine Elektrotechnik und Theoretische Nachrichtentechnik
Prof. Dr.- Ing. Anton Kummert
Stability and stabilisation of active ladder circuits modeled in the form of two-dimensional (2D) systems
2015 IEEE 9th International Workshop on Multidimensional (nD) Systems (nDS) , Seite 1-6.
Schlüsselwörter: 2D systems, active ladder circuit model, active networks, Analytical models, Circuit stability, control system synthesis, controller design, electrical ladder circuits, Integrated circuit modeling, ladder networks, linear matrix inequalities, LMI technique, Mathematical model, Numerical models, Robust stability, spatially-interconnected systems, Stability analysis, two-dimensional systems
A Generic Parameter Optimization Workflow for Camera Control Algorithms
2015 IEEE 18th International Conference on Intelligent Transportation Systems , Seite 944-949.
Schlüsselwörter: camera control, camera control algorithms, cameras, Databases, Entropy, generic parameter optimization workflow, image capture, image quality, image quality criteria, light conditions, Light sources, Lighting, multiobjective parameter optimization, optimisation, Optimization, parameter estimation, parameter set determination
Computing enclosures for the inverse square root and the sign function of a matrixLinear Algebra and its Applications,
Applications for a people detection and tracking algorithm using a time-of-flight cameraMultimedia Tools and Applications,
A multidimensional approach to Wave Digital Filters with multiple nonlinearities
22nd European Signal Processing Conference (EUSIPCO) , Seite 2405-2409.
A multidimensional signal processing approach to Wave Digital Filters with topology-related delay-free loops
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'14) , Seite 389 - 393.
A multidimensional wave digital filter bank for video-based motion analysisMultidimensional Systems and Signal Processing, 25(2):295 - 311
Insufficiencies of Practical BIBO Stable n-D SystemsMultidimensional Systems and Signal Processing, 25:3 - 15
Schlüsselwörter: multidimensional digital filters, multidimensional systems, Stability
RSSI-Based Real-Time Indoor Positioning Using ZigBee Technology for Security Applications
In Dziech, A. and Czcyzewski, Andrzej, Editor, 7th International Conference, MCSS 2014, Krakow, Poland, June 11-12, 2014. Proceedings Band 429 aus Multimedia Communications, Services and Security , Seite pp 83-95.
Herausgeber: Springer International Publishing,
Schlüsselwörter: Indoor Positioning, RSSI based Position Estimation, Trilateration, ZigBee
Zusammenfassung: Localization in indoor environments is an important aspect with regard to mobile security applications. Because here, the global positioning system (GPS) is not available or very imprecise, other positioning systems are required. For that matter wireless sensor networks provide two common approaches based on received signal strength indicators (RSSI). The first one uses fingerprints and the second is based on trilateration. Because fingerprinting needs a lot of training and (re-)calibration, this paper presents a new indoor positioning system based on RSSIs and trilateration using ZigBee technology. Since RSSI measurements are very susceptible to noise, the gathered RSSIs have to be preprocessed before they can be used for position calculations. For this reason, the RSSIs were averaged using time-dependent weights and smoothed over time so that outliers and old RSSIs can be eliminated. The presented indoor positioning system was verified by experiments.
Control law design for discrete linear repetitive processes with non-local updating structuresMultidimensional Systems and Signal Processing, 24:707 - 726
Schlüsselwörter: Control law design, Discrete linear repetitive processes, Stability analysis
Zusammenfassung: Repetitive processes are a class of 2D systems where information propagation in one direction is of finite duration. These processes make a series of sweeps, termed passes, through a set of dynamics and on completion of each pass resetting to the starting position occurs ready for the start of the next pass. The control problem is that the previous pass output, termed the pass profile, acts as a forcing function on the current pass and can result in oscillations that increase in amplitude from pass-to-pass. In the case of discrete dynamics, these processes have structural links with 2D systems described by the well known Roesser and Fornasini–Marchesini state-space models but some applications require updating structures that cannot be represented by these models. This requirement arises either in adequately modeling the dynamics or as a result of the control law structure and requires the development of a systems theory for eventual use in applications. In this paper such a theory is advanced through the development of new control law design algorithms.
Camera Based Object Position Estimation for Mobile Devices
of the 8th International Workshop on Multidimensional (nD) Systems (nDS'13) , Seite 175 - 180.
Evaluation of the Lens Distortion Errors in 2-D Image to 3-D World Coordinate Projections
of the 8th International Workshop on Multidimensional (nD) Systems (nDS'13) , Seite 187 - 191.
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.
Automatic Privacy Protection Based on Haar Cascades and Spectral Domain Watermarking
of the 8th International Workshop on Multidimensional (nD) Systems (nDS'13) , Seite 199 - 204.
Zusammenfassung: A new system for automatic privacy protection in digital media, based on Haar cascades and spectral domain watermarking is described in the present paper. In a first step faces are detected by means of Haar cascades. Integral images are used to speed up calculations and the detection. Multiple detections of one face are combined. Succeeding steps comprise embedding the data into the image using spectral domain methods and deleting the area of privacy. An extended Discrete Haar Transformation is developed to transform arbitrary matrices. A Spread Spectrum method is used to embed the size and position of the faces into the cover image. Different methods for embedding regarding their fidality and performance are compared. Additionally the performance of the methods after cropping the images is presented.
Stabilization of a Class of Active Ladder Circuits based on a Wave Repetitive Process Approach by means of Multidimensional Wave Digital Filters
of the 8th International Workshop on Multidimensional (nD) Systems (nDS'13) , Seite 157 - 162.
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
Wave repetitive process approach to a class of ladder circuits
of the IEEE International Symposium on Circuits and Systems (ISCAS'12) , Seite 950 - 953.
A Decision Fusion and Reasoning Module for a Traffic Sign Recognition SystemIEEE Transactions on Intelligent Transportation Systems, 12(4):1126 - 1134
Control of Discrete Linear Repetitive Processes using Non-local Previous Pass Information
of the 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC'11) , Seite 4023 - 4028.