疲劳驾驶检测技术研究综述  

Survey on Fatigue Driving Detection Method Research

作　　者：吴雅萱[1] 李文书[1] 施国生[1] 周涛[1] 

机构地区：[1]浙江理工大学,浙江杭州310018

出　　处：《工业控制计算机》2011年第8期44-46,49,共4页Industrial Control Computer

基　　金：浙江省基金资助项目(基于认知模型的人脸表情识别研究;Y1080851)

摘　　要：分析了疲劳驾驶检测技术的研究难点,介绍了当前世界上几种具有代表性的疲劳检测方法,提出了应用信息融合技术将多种检测方法进行有机融合的检测方法,并在此基础上对这些疲劳检测方法的优缺点进行了详细的对比分析,最后对疲劳驾驶检测技术的发展趋势进行了展望。其中,非接触性、车载性和实时性研究及符合人体工程学和心理学仍然是疲劳驾驶检测技术未来发展的方向。This paper analyzes the difficult of driver fatigue detection,and introduces the current representative detection methods and detection systems.The method for organic combination of various monitoring methods using information fusion technology,and the development trend of driver fatigue status monitoring is presented.On the base of this,the advantages and disadvantages of these detection methods are compared,and finally the trend of fatigue driving detection is prospected.Study on non-contact,vehicle mounted and real-time features of fatigue driving status monitoring and pre-warning devices is the way of the future development accord with human engineering and psychology.

关 键 词：驾驶员 疲劳驾驶 疲劳检测 信息融合 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]