论文标题
对驾驶员嗜睡检测系统的审查：技术，优势和局限性
A Review of Driver Drowsiness Detection Systems: Techniques, Advantages and Limitations
论文作者
论文摘要
驾驶员昏昏欲睡是道路事故的最大因素之一，每年导致严重伤害和死亡。嗜睡意味着难以保持清醒，这可能会导致入睡。本文介绍了基于生理信号，面部特征和驾驶模式的分析的驾驶员嗜睡检测系统的文献综述。本文还介绍并详细介绍了每个班级最近提出的技术。我们还提供了有关最近发表的有关准确性，可靠性，硬件要求和侵入性的比较研究。我们总结并讨论了每个班级的优点和局限性。结果，每类技术都有优点和局限性。结合两种和更多技术的混合系统将有效，健壮，准确且实时使用，以利用每种技术。
Driver Drowsiness is one of the most factors of road accidents, leading to severe injuries and deaths every year. Drowsiness means difficulty staying awake, which can lead to falling asleep. This paper introduces a literature review of driver drowsiness detection systems based on an analysis of physiological signals, facial features, and driving patterns. The paper also presents and details the recently proposed techniques for each class. We have also provided a comparative study of recently published works regarding the accuracy, reliability, hardware requirement, and intrusiveness. We have summarized and discussed the advantages and limitations of each class. As a result, each class of techniques has advantages and limitations. A hybrid system that combines two and more techniques will be efficient, robust, accurate, and used in real-time to take advantage of each technique.
