TY  - CHAP
U1  - Buchbeitrag
A1  - Handmann, Uwe
A1  - von Seelen, Werner
A1  - Kalinke, Thomas
A1  - Tzomakas, Christos
A1  - Werner, Martin
T1  - Image Processing for Driver Assistance
T2  - Mustererkennung 1998
N2  - Systems for automated image analysis are useful for a variety of tasks and their importance is still growing due to technological advances and an increase of social acceptance. Especially in the field of driver assistance systems the progress in science has reached a level of high performance. Fully or partly autonomously guided vehicles, particularly for road-based traffic, pose high demands on the development of reliable algorithms due to the conditions imposed by natural environments. At the Institut für Neuroinformatik methods for analyzing driving relevant scenes by computer vision are developed in cooperation with several partners from the automobile industry. We introduce a system which extracts the important information from an image taken by a CCD camera installed at the rear view mirror in a car. The approach consists of a sequential and a parallel sensor and information processing. Three main tasks namely the initial segmentation (object detection), the object tracking and the object classification are realized by integration in the sequential branch and by fusion in the parallel branch. The main gain of this approach is given by the integrative coupling of different algorithms providing partly redundant information.
Y1  - 1998
UR  - https://link.springer.com/chapter/10.1007%2F978-3-642-72282-0_2
UR  - http://www.handmann.net/pdf/DAGM-vSeHanEtAl1998.pdf
U6  - https://doi.org/10.1007/978-3-642-72282-0_2
DO  - https://doi.org/10.1007/978-3-642-72282-0_2
SP  - 11
EP  - 22
S1  - 12
PB  - Springer Verlag
CY  - Berlin
ER  -