基于热成像的多模态疲劳驾驶检测
Multi-modal Fatigue Driving Detection Based on Thermal Imaging
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摘要: 在疲劳驾驶检测方法中,为解决可见光摄像头的光环境鲁棒性差以及遮挡导致的驾驶员面部特征缺失问题,本文提出一种基于热成像的多模态疲劳驾驶检测方法,通过单一热成像设备获取驾驶员生理与面部视觉特征对疲劳驾驶进行多模态融合判断。实验表明,本文方法在不同光环境和面部遮挡条件下的疲劳驾驶检测精度达到0.975,具备较好的光环境鲁棒性和抗遮挡性能。Abstract: In fatigue driving detection, to address the low robustness to lighting environments and the loss of drivers' facial features in ordinary cameras, a fatigue driving detection method based on thermal imaging was proposed in this study. Utilizing thermal imaging, the physiological and facial features of the driver were obtained and used for multimodal fusion judgment of driving fatigue. The experiments showed that the accuracy of this method for fatigue driving detection reached 0.975.
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