基于驾驶行为的疲劳状态检测方法研究

Research on Fatigue Detection Method Based on Driving Behavior

  • 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.

     

    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.

     

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