Towards a Human-like Vision System for R esource-Constrained Intelligent Cars

Research on computer vision systems for driver assistance resulted in a variety of approaches mainly performing reactive tasks like, e.g., lane keeping. However, for a full understanding of generic traffic sit- uations, integrated and more flexible approaches are needed. We present a system inspired by the human visual system. Based on combining task- dependent tunable visual saliency, an object recognizer, and a tracker it provides warnings in dangerous situations.

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