驾驶员视觉图像识别系统优化设计与实现

The Driver's Visual Image Recognition System Optimization Design and Implementation

汽车驾驶员视觉图像识别优化,可以帮助司机判断异常情况。为保证司机安全,提出使用驾驶员视觉图像识别系统。由于当前路况越来越复杂,一些复杂信息在通过当前系统显示时,缺少对驾驶员视觉表达的分析,复杂路况下,系统存在驾驶盲区无法表达问题。提出基于视觉表达的汽车多通道显控整体的设计方法。以驾驶员的视觉表达为基础进行设计,对驾驶员在驾驶汽车各个环节中的其视线的位置进行准确估计,解决了驾驶员的可视区域的视觉盲区的问题;从人机工程角度获得汽车多通道显控整体的最优布置方案。仿真结果表明,改进的设计方法能够获得更好的人机交互体验,并使多通道显控系统中的视觉图像识别取得了理想效果。

Automobile driver＇s visual image recognition optimization can help the driver to judge the abnormal situation. A design method of multi-channel display and control system for automobile based on visual expression was proposed in the paper. The driver＇s visual expression was taken as the basis of design,and the line of sight position of driver in all aspects of automobile driving was accurately estimated,to solve the problem of blind area in driver visual area. And the optimal layout scheme of multi-channel display and control system for automobile can be obtained from the point of view of ergonomics. The simulation results show that the improved design method can achieve a better human-computer interaction experience and make ideal results of visual image recognition in multi-channel display control system.