基于马尔可夫过程的驾驶员视觉注意力转移模型研究

Research on Shift Modle of Driver's Visual Attention Based on MarKov Process

为研究驾驶员在车辆驾驶时的视觉注意力的转移规律,构建了注意力转移模型。基于马尔可夫过程,在将驾驶员重点视觉域划分为主视区、左后视镜、右后视镜、正后视镜、仪表盘5个子域的基础上,构建了视觉注意力转移模型,并给出了模型的求解算法。最后结合实例验证了模型的可行性。

In order to study the shifting regularity of driver＇ s visual attention during vehicle driving, a shift model of visual attention was set up. After dividing the valid visual field of driver into seven subordinary fields which are front visual field, outer rearview mirrors （left and right）, rearview mirror and instrument board, a shift model of visual attention was proposed based on MarKov process, and the solving algorithm of the model was given. Finally the feasibility of the model was verified through a case.