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Most computer vision systems for vehicle guidance developed in the past were tailored to the relatively simple highway scenario. Autonomous driving in the much more complex urban environment or driver assistance systems like intelligent Stop&Go are new challenges not only from the algorithmic but also from the system architecture point of view. This contribution describes our current work on these topics. It includes appropriate vision algorithms as well as the control of different vision modules following the "active vision" paradigm.
Franke et al. (Sat,) studied this question.