基于疲劳检测和车道线检测反馈的驾驶员状态监测系统

Kai Yan, Chaoyue Zhao, Chengkang Shen, Peiyan Wang, Guoqing Wang
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引用次数: 0

摘要

在当今社会,汽车已经成为生活中不可或缺的一部分,无论是商业还是娱乐。由于长期连续的工作,疲劳对拼车司机和卡车司机来说是非常危险的。因此,本文旨在设计一种通过评估驾驶员状态和周围环境来提供有价值反馈的装置。通过车道检测和人脸检测进行梯度判断。当检测到危险情况时,会通过不同程度的音乐和音频提示提醒驾驶员。该系统还有两个附加功能。首先,一个数字记录,以协助专业司机。另一个是安全系统,如果有陌生人启动汽车,就会向车主的手机发送短信。通过与以往工作的对比,定性和定量地验证了该系统在驾驶员疲劳检测中的有效性和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Driver Status Monitoring System with Feedback from Fatigue Detection and Lane Line Detection
Automobiles have become an indispensable part of life for both business and pleasure in today's society. Because of the long-term continuous work, fatigue presents a great danger to ride-sharing and truck drivers. Therefore, this paper aims to design a device that provides valuable feedback by evaluating driver status and surroundings. A gradient judgment is made through lane detection and face detection. When a dangerous condition is detected, the driver will be alerted by music and audio announcements with different degrees. The system also has two additional functions. First, a digital record-keeping to assist the professional driver. The other is a security system that if a stranger starts the car, a text message will be sent to the owner's phone. Compared with those in previous works, the proposed system's efficacy and efficiency are validated qualitatively and quantitatively in driver fatigue detection.
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