Video-based driver's assistant systems will play a major role in future car safety system Previous work of the Daimier-Benz Research in the Prometheus project has shown that functions such as lane keeping, object detection and avoidance, and traffic sign recognition can be performed in real-time. However, conventional image processing architectures consisting of CCDs and powerful digital computers are too heavy, too bulky, consume too much power, and are too expensive. Moreover, because of some considerable deficits of CCDs, the lack of processing speed and robustness, these architectures cannot be transfered into products. Image processing chips and architectures in highly parallel analogue CMC technique will be proposed. With these systems, it will be possible to realize miniaturized, cheep, and powerful driver's assistant systems. This work has shown that highly parallel, powerful, robust, and cheap vision systems for driver's assistant systems can be built on the basis of analogue vision chips. Several types of algorithms are developed which could not yet be used in digital image processing because of the computational load. Implemented in a chip, they solve the perceptual task by a non-linear system of recursive equations. Typical relexation times are in the order of microseconds; however, in the current architecture the data transfer times between the chips limit the frame rate to 50 Hz. The algorithm development has to meet the requirements from applied image processing as well as the constraints of chip manufacturing and system integration. In order to produce chips with many nodes, modern sub-micron-technology must be used. The advantage of analogue vision chips will only then be fully exploited, when the most modern technologies for packaging, integration, and 3d-connection will be used.
Analogue image processing for driver's assistant systems
Analoge Bildauswertung für Fahrer-Unterstützungstechnologien
1996
14 Seiten, 5 Bilder
Conference paper
English
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