The invention belongs to the field of fatigue driving detection, relates to a data analysis technology, is used for solving the problem that a fatigue detection judgment result is inaccurate due to the fact that a driver fatigue visual auxiliary detection method in the prior art only adopts a single detection mode of visual detection, and particularly relates to an intelligent cockpit driver fatigue visual auxiliary detection method. Comprising the following steps: performing visual detection analysis on a driver of the intelligent cabin: generating a detection period, dividing the detection period into a plurality of detection time periods, obtaining visual coefficients SJ of the detection time periods, and sending the visual coefficients SJ of the detection time periods to a fatigue analysis module; visual detection analysis is performed on the driver of the intelligent cabin, the visual coefficient is obtained by acquiring, analyzing and calculating the portrait parameters in the detection time period, and the fatigue degree of the driver in the detection time period is fed back through the visual coefficient, so that early warning and reminding are performed in time when the driver is too fatigue.
本发明属于疲劳驾驶检测领域,涉及数据分析技术,用于解决现有技术中的驾驶员疲劳视觉辅助检测方法,仅通过视觉检测这种单一的检测方式会导致疲劳检测判定结果不准确的问题,具体是一种智能座舱驾驶员疲劳视觉辅助检测方法,包括以下步骤:对智能座舱的驾驶员进行视觉检测分析:生成检测周期,将检测周期分割为若干个检测时段,获取检测时段的视觉系数SJ并将检测时段的视觉系数SJ发送至疲劳分析模块;本发明是对智能座舱的驾驶员进行视觉检测分析,通过对检测时段内的人像参数进行采集、分析与计算得到视觉系数,通过视觉系数对检测时段内驾驶员的疲劳程度进行反馈,从而在驾驶员过于疲劳时及时进行预警与提醒。
Intelligent cockpit driver fatigue visual auxiliary detection method
一种智能座舱驾驶员疲劳视觉辅助检测方法
2023-08-29
Patent
Elektronische Ressource
Chinesisch
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