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基于驾驶行为的疲劳状态检测方法研究
引用本文:胡敦利,刘康.基于驾驶行为的疲劳状态检测方法研究[J].北京理工大学学报,2013,33(S1):160-163.
作者姓名:胡敦利  刘康
作者单位:北京科技大学信息工程学院, 北京 100083;北方工业大学城市道路交通智能控制技术北京市重点实验室, 北京 100144;北方工业大学 机电工程学院, 北京 100144
基金项目:国家特殊需求-城市道路交通智能控制人才培养资助项目(PXM2013_014212_000031)
摘    要:研究基于驾驶行为判断驾驶状态的方法. 基于驾驶模拟舱进行实验,通过分析驾驶人在疲劳状态下的方向盘转角操作特征及油门幅值变化情况,提取了方向盘不动时间占空比和油门幅值均值作为疲劳状态判别指标,通过方差分析进行方向盘不动时间选取的优化,运用Fisher线性判别算法对驾驶状态进行识别,得到了较为准确的识别率.

关 键 词:疲劳驾驶  方向盘转角  油门  Fisher线性判别
收稿时间:7/8/2013 12:00:00 AM

Research on Fatigue Detection Method Based on Driving Behavior
HU Dun-li and LIU Kang.Research on Fatigue Detection Method Based on Driving Behavior[J].Journal of Beijing Institute of Technology(Natural Science Edition),2013,33(S1):160-163.
Authors:HU Dun-li and LIU Kang
Institution:School of Information Engineering, University of Science and Technology Beijing, Beijing 100083, China;Beijing Key Laboratory of Urban Traffic Intelligent Control Technology, North China University of Technology, Beijing 100144, China;School of Mechatranical Engineering, North China University of Technology, Beijing 100144, China
Abstract:Identification of driving state based on driving behavior is presented in this paper. The driving behavior data was collected from the driving simulation chamber under the experimental conditions. The operating characteristics in fatigue driving state were analyzed including the steering wheel and throttle amplitude changes. Then the duty ratio of no steering and the mean value of throttle amplitude were extracted as the discrimination index for fatigue state. The no steering time was optimized using variance analysis. Finally the Fisher linear discrimination algorithm was used to identify the driving state with high recognition accuracy.
Keywords:fatigue driving  steering wheel angle  throttle  Fisher linear discrimination
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