对车辆驾驶室驾驶员疲劳检测研究现状进行了分析

Alexandr Bulygin, A. Kashevnik
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摘要

本文对现代文献中驾驶员疲劳检测方法进行了分析。有各种各样的方法来评估一个人的功能状态。功能状态是直接或间接决定任何活动表现的人的功能和素质的一套完整的特征。一个人的身心状态,他的工作、训练、创造力的成功与否,都取决于机体的机能状态。动态驾驶行为的评估是近年来一个日益热门的研究领域。与现代驾驶员监测系统相比,驾驶员行为的动态评估包括持续监测,可让您确定功能状态,而现代驾驶员监测系统仅在短时间间隔(1-10秒)内评估困倦和注意力受损等情况。这样的系统允许我们谈论生理,但不是神经生理监测,它允许监测疲劳的功能状态。因此,监测驾驶员的疲劳状态,并及时发出警告,避免与其他车辆发生碰撞是有意义的。在本文中,进行了一项研究,并分析了从一个人身上获得适当特征的方法,从而可以确定他的疲劳功能状态。作为源分析的结果,选择了最常用的方法来确定驱动器的功能状态。此外,根据获得驾驶员功能状态的重要特征的最常见方法,对发现的源进行了分类。最后进行了对比分析,展示了这类现代系统的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of current research in the field of detecting driver fatigue in the vehicle cab
The article analyzes the methods of detecting driver fatigue which are described in modern literature. There are a great variety of methods for assessing the functional state of a person. A functional state is an integral set of characteristics of those functions and qualities of a person that directly or indirectly determine the performance of any activity. The physical and mental state of a person, the success of his work, training, creativity depends on the functional state of the organism. The assessment of dynamic driver behavior has become an increasingly popular area of research in recent years. Dynamic assessment of driver behavior includes continuous monitoring that allows you to determine functional states, in contrast to modern driver monitoring systems, which assess conditions such as drowsiness and impaired attention for a short (1-10 s) time interval. Such systems allow us to talk about physiological, but not neurophysiological monitoring, which allows monitoring the functional state of fatigue. Therefore, it makes sense to monitor the driver’s state of fatigue of, as well as to warn them in a timely manner to avoid collisions with other vehicles. In the article, a study was carried out and an analysis of the ways to obtain the appropriate characteristics from a person, with the help of which it is possible to determine his functional state of fatigue. As a result of the analysis of the sources, the most common methods for determining the functional state of the driver were selected. Further, the sources found were classified according to the most common methods for obtaining significant characteristics of the functional state of the driver. As a result, a comparative analysis was made, demonstrating the capabilities of modern systems of this class.
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