Adaptive driver assistance system based on Traffic Information Saliency Map
In this paper, we propose a framework that can prevent accidents due to careless or inattentive driving by providing the necessary traffic information to the driver. The proposed system complements the driver by providing the missed cognitive information regarding the traffic. The proposed system is divided into three parts. First, the system checks the condition of the driver in real time, and detects the status of the driver in terms of driving ability. Second, we propose bottom up and top down processes based on Traffic Information Saliency Map (TISM) which contains the distribution corresponding to the external road information using bottom up traffic information saliency map and top down importance information such as pedestrian and traffic light detection results. Computer experimental results show that the proposed method works well for monitoring of internal situation for driver's attention as well as external environment.
2016 International Joint Conference on Neural Networks (IJCNN)