Abstract
Based on experiences by commissioning two experimental vehicles, a system architecture for investigating driver assistance approaches is described. If a road vehicle is equipped with a video camera, machine vision approaches can provide knowledge about the actual traffic situation around the vehicle, e.g. obstacles. Taking into consideration the complexity of traffic situations, a modelling approach for traffic scenes is necessary which is based on the instantiation of generic situation schemata within an interpretation cycle by utilizing sensor information about driver, vehicle and environment.
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