基于车载机器视觉的汽车安全技术
首发时间:2008-02-26
摘要:驾驶员80%以上信息通过视觉获得,开发基于车载机器视觉的汽车安全辅助驾驶系统有助于保障汽车驾驶安全。本文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,并综述国内外研究现状。最后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,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。
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Vehicle safety Technology based on on-board machine vision
Abstract:The development of driver assistant system based on the On-board machine vision is helpful to ensure driving secureity because more than 80% driver\\\\\\\��s information is obtained by vision. On the basis of discussing the operation process of driving vehicle,this paper divided the machine vision of driver assistant system into external information machine vision and internal information machine vision technology according to the scope of information acquisition, including: driver’s vision enhancement, driver’s vision improvement, understanding of path environment , line of sight tracking and driving weary monitoring. The domestic and foreign researching situation of this field at present was also summarized . At last, current research insufficiency of the machine vision technology in driver assistant system was analyzed. The conclusion was that some research should be taken into deeper investigation ,such as driver vision enhancement method in low visibility, information fusion of path environment understanding as well as driving weary examination.
Keywords: road safety driver vision driver assistant system machine vision
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No.1885120199512040****
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