Frank Höwing - Research and Development

Publications

Höwing, F.:
Effiziente Entwicklung von AUTOSAR-Komponenten mit domänenspezifischen Programmiersprachen
5. Workshop Automotive Software Engineering, Lecture Notes in Informatics - Gesellschaft für Informatik, Vol . P-110, Bremen, September 2007, pp. 552 - 556
(PDF file 372 KB)

Gläser, S., Höwing, F., Schnieder, E.:
Automatische Fehleranalyse einer offenen Kommunikationsarchitektur im Kraftfahrzeug
atp - Automatisierungstechnische Praxis, Teil 1: Ausgabe 09/2007, pp. , Teil 2: Ausgabe 10/2007, pp.

Gläser, S., Höwing, F., Schnieder, E.:
Automatische Fehleranalyse flexibler Kommunikationssysteme im Kraftfahrzeug
AAET 2007 - Automation, Assistance and Embedded Real Time Platforms for Transportation, Braunschweig, February 2007, pp. 249 - 268

Friedrich, M., Höwing, F.:
Highly efficient C++ code and automotive - a mutual exclusion?
embedded world Conference, Nürnberg, February 2007

Gläser, S., Höwing, F., Rech, B., Schnieder, E.:
Flexible Infotainment-Architektur mit automatischer Fehleranalyse
IMA 2006 – Informationssysteme für mobile Anwendungen, Wolfsburg, October 2006, pp. 7 - 26

Abstract:
Services offering safety, mobility and entertainment to passengers represent an
evolving, yet increasingly competitive factor for the automotive sector. Because of product-
cycle inconsistency between car and information technologies, the success of such infotain-
ment services depends strongly on the fact, whether the portfolio of services offered in the car
could grow and evolve with the changing customer requirements. This paper takes up the
challenge to answer how we could conceive a system architecture that integrates such services
in the car, whose behaviour is variable or is unknown over a considerable period of time. In
the adopted approach, we use among other tools, an Analyzer, which helps us to automatically
test the vehicular systems for logical errors.

Höwing, F.:
Nutzen und Kosten von AUTOSAR-Steuergeräten
Technologietag Mitteldeutschland, Dresden, November 2006

Müller, J.-V., Höwing, F.:
Infotainment: Multimedia im Auto
IQ-Journal, 03/2005, pp. 6-8
(online version)

Höwing, F.:
Impact of the Software Architecture on the Development Process in Distributed Systems.
AAET 2005 - Automation, Assistance and Embedded Real Time Platforms for Transportation, Braunschweig, February 2005, Volume 1, pp. 174 - 190

Abstract:
Both software engineers and managers often misunderstand or underestimate each others main motivators, leading to inefficient processes, unmotivated software engineers and eventually to sub-optimal quality and yields. This conflict can be alleviated significantly by an appropriate software architecture and design.

Eckhardt, V., Höwing, F.:
Softwarearchitektur und -entwicklung für Infotainment- und Telematiksysteme.
VDA Technischer Kongress, Wolfsburg, April 2003, pp. 237-284

Müller, T., Höwing F.:
XML-basierte Softwarearchitekturen für automobile Multimediasysteme.
OBJEKTspektrum 06/2002, November 2002, pp. 36-40
(PDF file 229KB)

Abstract:
Particular requirements apply to modern multi-media systems when used in an automotive environment. This article describes how software architectures can fulfill these requirements, even with a long-term perspective. A key element is the 'eXtended Markup Language' (XML), which is applied not only to describe graphical user interfaces.

Höwing, F.:
Analysis and Measurement of Motion in 2D Medical Imaging Sequences Exploiting Uncertain Knowledge.
PhD thesis, University of Glamorgan, in collaboration with the Fachhochschule Braunschweig/Wolfenbüttel, October 2001
Abstract: (PDF file 41KB)

Höwing, F., Dooley, L.S., Wermser, D.:
Fuzzy Active Contour.
IEE Proceedings on Vision, Image and Signal Processing, 147(4), August 2000, pp. 323-330
Abstract:
A new method for representing and tracking of object boundaries is presented, which allows for the integration of uncertain a priori knowledge into an active contour model. The novel concept of fuzzy snakes is developed to allow for an intuitive specification of the properties of an object's boundary. This is achieved by introducing fuzzy energy functions and establishing a linguistic rule base, which describes each of the fuzzy snake's segments. Furthermore the approximate length of each contour segment may be specified to both improve the segmentation process and to reduce computational complexity. Experimental results demonstrate the validity of the theoretical properties of the fuzzy snake approach and examples have been included illustrating the application of the technique to complex scenes, such as medical imaging sequences.
Höwing, F., Dooley, L.S., Wermser, D.:
Linguistic Contour Modelling through a Fuzzy Active Contour.
M. Mohammadian (Ed.), New Froniers in Computational Intelligence and its Applications, IOS Press, Amsterdam, 2000, pp. 271-279

Dooley, L.S., Höwing, F., Wermser D.
Automatic Analysis of MR Sequences for the Diagnosis of Ligament Lesions.
European Medical & Biological Engineering Conference, Vienna, November 1999, pp.934-935
Abstract:
In many cases articular damages cannot be diagnosed through an examination of a single image. A motion analysis of a joint’s bones might be necessary to make a reliable diagnosis. Examples are lesions of the ligaments and cartilage of the knee or in the cervical and lumbar regions of the vertebral. This paper presents a novel system to diagnose lesions of the ligaments of the wrist (carpal instabilities). The method is particularly well-suited to aid in the diagnosis of the scapho-lunate instability. This damage is a common injury after accidents involving the wrist. The lesion occurs when the ligaments between the Scaphoid and the Lunate are torn.

WiT, Visual Programming, and Hierarchical Trees.
Dr. Dobb's Journal, September 1999, pp. 80-86

Höwing, F., Bülow, H. and Wermser, D., Dooley, L.S., Thoma, W. :
Automatic Motion Analysis of Bones from MR Sequences.
International Conference on Image Processing and its Applications IPA99, Manchester, UK, July 1999, pp. 397-401

Höwing, F., Dooley, L.S., Wermser, D.:
Tongue Tracking in Medical X-ray Sequences.
International Conference on Image Processing and its Applications IPA99, Manchester, UK, July 1999, pp. 494-497

Höwing, F., Dooley L.S., Wermser, D.:
Tracking of non-rigid articulatory organs in X-ray image sequences.
Computerized Medical Imaging and Graphics, (23)2, April 1999, pp. 59-67
Abstract:
This paper presents a system for the automated tracking of non-rigid anatomic structures in two-dimensional image sequences, which has been primarily applied to X-ray image sequences of the vocal tract. In this particular application articulatory organs have to be measured to investigate the complex dynamic characteristics of human speech production. Of particular interest is a robust boundary detection of non-rigid organs such as lips and tongue. To solve this ill-posed detection problem under the presence of transparently superimposing structures, varying textural appearances of organs and noise, a two-level system is proposed. At the lower level, several edge-, region-, and motion-based image operators are combined to exploit their respective benefits and concomitantly compensate for their deficiencies. For the sake of precision, the result of these operators are not represented as larger tokens, such as line segments, but remain pixel-related cues or image evidences. At the higher level, an active contour-based component allows for the introduction of a priori knowledge about the object to be detected.

Höwing, F., Bülow, H. and Wermser, D., Dooley, L.S., Thoma, W.:
Analyse von Knochenbewegungen in Folgen von MRT Aufnahmen.
Bildverarbeitung für die Medizin 1999, Springer, March 1999, pp. 317-321

Höwing, F., Wermser, D. and Dooley, L.S.:
Linguistische Modellierung zur Erkennung anatomischer Objekte.
Bildverarbeitung für die Medizin 1999, Springer, March 1999, pp. 357-361

Höwing, F., Dooley, L.S., Wermser, D.:
Zungenverfolgung in medizinischen Röntgenbildsequenzen.
Bildverarbeitung für die Medizin 1999, Springer, March 1999, pp. 377-381

Höwing, F., Wermser, D. and Dooley, L.S.:
Entwicklung automatischer Verfahren zur Kennzeichnung und Vermessung von verformbaren Objekten in Bildsequenzen.
Scientific video. Bildverarbeitung für die Medizin, Heidelberg, March 1999

Höwing, F., Dooley, L.S., Wermser, D.:
Linguistic contour modelling through Fuzzy Snakes.
Computational Intelligence for Modelling Control and Automation, M. Mohammadian (Ed.),
IOS Press, Amsterdam, February 1999, pp. 384-389

Thoma, W., Götz, M., Fürst, C.-H., Höwing, F., Bülow, H. and Wermser, D.:
MRT-Bilderkennungssystem zur automatischen Analyse komplexer Knochenbewegungen.
Scientific video. Deutscher Orthopädenkongress, Wiesbaden, Germany, September 1998

Höwing, F., Wermser, D. and Dooley, L.S.:
Fuzzy Snakes.
International Conference on Image Processing and its Applications IPA97, Dublin, 627-630, July 1997

Höwing, F.:
Automatic Identification and Measurement of X-ray Sequences involving the Articulatory Tract.
MPhil to PhD Transfer Document, University of Glamorgan, March 1996.

Höwing, F., Wermser, D. and Dooley, L.S.:
Recognition and Tracking of Articulatory Organs in X-ray Image Sequences.
IEE Electronics Letters, 32(5):444-445, February 1996.

Abstract:
Deformable organs of the human vocal tract are detected. An Active Contour is optimised by a dynamic programming algorithm, for which a new constraint is presented that introduces a priori knowledge on the shape of the expected boundary. The algorithm is able to detect convex and concave objects even when the image quality is poor.

Wermser, D. und Höwing, F.:
Automatische Kennzeichnung und Vermessung in Röntgenbildsequenzen.
Biomedical Journal, (45):17-19, Januar 1996.
Abstract:
Image processing methods are presented to identify and measure contours of organs in X-ray image sequences. The main advantage of the system is its capability of processing images of poor quality or where difficulties arise from an inhomogeneous distribution of Roentgen contrast agent or from superimposing structures. Identification is possible even for non-rigid moving organs. To overcome the challenging problems involved, the framework for contour detection is based on an active contour approach, which is for the first time applied to image sequences of the human vocal tract. The related project in articulatory phonetics is described and the motives for an application of image processing methods are explained. After demonstrating the advantages of the active contour approach for tongue detection, other applications of the system are suggested. Finally an overview is given, on how new applications could be realised at the current state of the project.