The application of highly sophisticated image processing techniques in modern driver assistance systems is steadily becoming more important. A digital camera connected to a computer assists the driver in environment perception and additionally provides information so that the driver can act correctly in different traffic situations. Especially if viewing conditions are bad an assistance of the driver by an image processing system is required. Image enhancement techniques applied in bad weather conditions or in the night must be continuously improved to provide helpful information for the driver to achieve an improved security in traffic. Therefore, further research is required in the corresponding areas of image acquisition and image processing.
Contact:
Prof. Dr. Christoph Stiller
E-Mail
Further information: www.mrt.uni-karlsruhe.de
The Institute for Measurement & Control Technology and the Institute of Microstructure Technoloygy developed a micro laser range sensor which acquires a depth map. The prototype uses a miniaturized memory alloy actuator to deflect the beam which needs much less space than the polygonal mirrors of off-the-shelf laser range sensors. Due to the special actuator mechanism the scanning velocity is high in the center of the field of view, while it is very small on the borders. Therefore, new approaches are required that can cope with the fact that the angular resolution is not constant and that the uncertainty of the angle is comparable to the uncertainty of the distance. The solution could be based on random sets dissolving the distinction between object detection and tracking.
Contact:
Prof. Dr. Christoph Stiller
E-Mail
Further information: www.mrt.uni-karlsruhe.de
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