Real time Driver Fatigue Detection Method for Advanced Driver Assistance System

摘要：

Fatigue driving is one main cause for most serious traffic accidents,eyes status is the key clue to judge whether the driver is drowsy or not. This paper proposes a practical real time algorithm which is applied in the on-board system to detect eyes status with an infrared camera. Face detection method is first applied to localize the eyes of the driver,after extracting the eye region,eyelids status can be detected. An alarm rule is made in term of the eyelid status. The algorithm is tested in real scene in the day and at night,and with an on-board embedded Driver Fatigue Detection System(DFDS),which is a subsystem of Advanced Driver Assistance System(ADAS),the algorithm can provide above 92％ accuracy and less than 1.5s react time in real driving scenes,it is available for real time use.

关键词： Advanced Driver Assistance System Driver Fatigue Detection

作者: Ruzhong Cheng Yong Zhao Wei Chen Lang Wang Ang Liu Xinan Wang

作者单位: Shenzhen Graduate School,Peking University,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 240-245

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）