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This paper presents a framework for interactive driver assistance systems including techniques for fast speed sign detection and classification, car detection and tracking, and lane departure warning. In addition, the driver's actions are monitored. The integrated system uses information extracted from the road scene (speed signs, position within the lane, relative position to other cars, etc.) together with information about the driver's state such as eye gaze and head pose, to issue adequate warnings. A touch screen monitor presents relevant information and allows the driver to interact with the system. The research is focused around robust on-line algorithms. Initial results of online speed sign detection and car tracking are presented in the context of a driver assistance system.
Petersson et al. (Thu,) studied this question.
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