基于转向盘图像的驾驶员疲劳检测方法研究

Research on Driver Fatigue Detection Method Based on Steering Wheel Image

为避免因疲劳驾驶导致交通事故,提出一种基于转向盘图像的驾驶员疲劳检测方法。该方法利用摄像头实时采集转向盘图像,经过处理得到转向盘转角,进而提取与疲劳相关的零速百分比和角度标准差两项指标,在此基础上采用支持向量机融合算法建立了驾驶员疲劳判别模型。试验结果表明,所建立的判别模型检测正确率达85%,检测方法具有操作简单、实用性强和鲁棒性好等优点。

To avoid traffic accident caused by fatigue driving,a method of driver fatigue detection based on steering wheel image was proposed in this paper.Through real-time acquisition of camera steering wheel image,this method can extract the steering wheel angle,two index including zero speed percentage and standard deviation of angle associated with fatigue.Then support vector machine fusion algorithm was used to establish drive fatigue discrimination model.Test results show that detection accuracy of fatigue can reach 85%,the detection method has advantages of easy operation,good practicability and robustness.