基于车载机器视觉的汽车安全技术

在描述汽车驾驶操作过程基础上,根据信息获取范围将汽车安全辅助驾驶的机器视觉分为外部信息的机器视觉与内部信息的机器视觉技术,包括视觉增强、视野扩展、道路环境理解、视线跟踪与驾驶疲劳监测;逐个阐述其作用机理,综述其国内外研究现状,并归纳出研究重点;分析了汽车安全辅助驾驶系统中机器视觉技术当前研究不足。笔者认为,低能见度驾驶员视觉增强方法、道路环境理解信息融合以及驾驶疲劳检测等技术需进一步开展研究。

Automobile Safety Technology Based on the Vision of On board Machines

According to the operation process of driving vehicle and the vision scope of information acquisition, the machine vision of safety assistant driving system was divided into external information machine vision and internal information machine vision technology, which included drivers' vision enhancement, drivers' vision enlargement, understanding of road environment, sightline tracking and fatigue-driving monitoring. The impact mechanism of the machine vision on drivers was respectively analyzed; the research situation in this field at home and abroad was reviewed and the major research field was summarized. Meanwhile, the weakness of machine vision technology in automobile safety assistant driving system was analyzed. It was considered that such technologies about drivers' vision enhancement in low visibility, information fusion of road environment and fatigue-driving monitoring should be further studied.