Abstract
The problems encountered in building a driver assistance system are numerous. The collection of information about real environment by sensors is erroneous and incomplete. When the sensors are mounted on a moving observer it is difficult to find out whether a detected motion was caused by ego-motion or by an independent object moving. The collected data can be analyzed by several algorithms with different features designed for different tasks. To gain the demanded information their results have to be integrated and interpreted. In order to achieve an increase in reliability of information a stabilization over time and knowledge about important features have to be applied. Different solutions for driver assistance systems have been published. An approach proposed by Rossi et al. [8] showed an application for a security system. An application being tested on highways has been presented by Bertozzi and Broggi [1]. Dickmanns et al. presented a driving assistance system based on a 4D-approach [2]. Those systems were mainly designed for highway scenarios, while the architecture presented by Franke and Görzig [3] has been tested in urban environment.
Extended abstract of the paper Eine flexible Architektur für Fahrerassistenzsy-steme [6] accepted by the DAGM-99 for the common part of the DAGM-99 and KI-99.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
M. Bertozzi and A. Broggi. GOLD: a Parallel Real-Time Stereo Vision System or Generic Obstacle and Lane Detection. In IEEE, editor, IEEE Transactions on Image Processing, volume 4(2), pages 114–136, 1997.
E. D. Dickmanns et al. Vehicles capable of dynamic vision. In 15th International Joint Conference on Artificial Intelligence (IJCAI), pages 1–16, Nagoya, Japan, 1997.
S. Goerzig and U. Franke. ANTS-Intelligent Vision in Urban Traffic. In IV’98, IEEE International Conference on Intelligent Vehicles 1998, pages 545–549, Stuttgart, Germany, 1998.
U. Handmann, T. Kalinke, C. Tzomakas, M. Werner, and W. von Seelen. An Image Processing System for Driver Assistance. In IV’98, IEEE International Conference on Intelligent Vehicles 1998, pages 481–486, Stuttgart, Germany, 1998.
U. Handmann, I. Leefken, and C. Tzomakas. A Flexible Architecture for Intelligent Cruise Control. In ITSC’99, IEEE Conference on Intelligent Transportation Systems 1999, Tokyo, Japan, 1999.
U. Handmann, I. Leefken, and C. Tzomakas. Eine flexible Architektur für Fahrerassistenzsysteme. In Mustererkennung 1999, Heidelberg, 1999. Springer-Verlag. DAGM’99.
U. Handmann, G. Lorenz, T. Schnitger, and W. von Seelen. Fusion of Different Sensors and Algorithms for Segmentation. In IV’98, IEEE International Conference on Intelligent Vehicles 1998, pages 499–504, Stuttgart, Germany, 1998.
M. Rossi, M. Aste, R. Cattoni, and B. Caprile. The IRST Driver’s Assistance System. Technical Report 9611-01, Instituto per la Ricerca Scientificia e Technologica, Povo, Trento, Italy, 1996.
R. Sukthankar. Situation Awareness for Tactical Driving. Phd thesis, Carnegie Mellon University, Pittsburgh, PA, United States of America, 1997.
Qiang Zhuang, Jens Gayko, and Martin Kreutz. Optimization of a Fuzzy Controller for a Driver Assistant System. In Proceedings of the Fuzzy-Neuro Systems 98, pages 376–382, München, Germany, 1998.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Handmann, U., Leefken, I., Tzomakas, C. (1999). A Flexible Architecture for Driver Assistance Systems. In: Burgard, W., Cremers, A.B., Cristaller, T. (eds) KI-99: Advances in Artificial Intelligence. KI 1999. Lecture Notes in Computer Science(), vol 1701. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48238-5_23
Download citation
DOI: https://doi.org/10.1007/3-540-48238-5_23
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66495-6
Online ISBN: 978-3-540-48238-3
eBook Packages: Springer Book Archive