基于驾驶员头部运动的红外传感器疲劳驾驶检测

Dongwook Lee, Seungwon Oh, Seongkook Heo, Minsoo Hahn
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引用次数: 43

摘要

在驾驶环境中,驾驶员的状态与车祸直接相关。因此,通过保持驾驶员的良好状态来减少交通事故的研究越来越多。虽然许多研究都集中在驾驶员的面部,但我们的方法主要集中在驾驶员的头部运动上。该系统通过采集驾驶员头部位置信息并提取特征点,计算驾驶员的身体状态:正常驾驶或疲劳驾驶。实验结果表明,在实际驾驶情况下发现疲劳驾驶的成功率为78%。
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Drowsy Driving Detection Based on the Driver's Head Movement using Infrared Sensors
In the driving circumstance, the driver¿s condition is directly connected with the car accident. Therefore, there are many researches to decrease the car accidents by keeping the driver¿s state in a good condition. While many of these researches are focused on the driver¿s face, our approach is focused on the driver¿s head movement. By collecting the driver¿s head position and extracting the feature points, the proposed system calculates the driver¿s physical state: Normal driving or Drowsy driving. The experimental results showed 78% of success rate to find the drowsy driving in the real driving situations.
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