Safety of Drivers Against Drowsiness—An Urgent Need of Present Day World

Sidhant Gandotra, S. Mohan
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Abstract

The risks associated with driving have resulted in severe tragedies and amongst these drowsiness is one such major risk. The state of drowsiness in drivers has led to accidents resulting in significant monetary losses, serious injuries and even deaths. Drivers involved in driving for longer times and distances are more prone to the state of drowsiness. The issues related to drowsiness have encouraged many researchers to develop detection mechanisms so that accidents could be averted. Researchers have discovered that most common basis for the detection of drowsiness are physiological based measures, behavioral based measures, subjective base measures and vehicle based measures. However, many researchers still endeavor to find more efficient solution for the detection of driver drowsiness. In this paper, major causes for drowsiness have been discussed. Various systems based upon which drowsiness can be detected have also been elaborated. Moreover, the conclusion of this paper focuses upon the gaps which if worked upon will bring new ways and means for developing a better and reliable system for detecting drowsiness. This paper will significantly contribute to the automobile industry as it will bring forth existing methods to detect drowsiness, and will also serve as a strong basis for the development of a robust drowsiness detection system which can be used as a safety feature for every automobile.
防止驾驶员疲劳驾驶——当今世界的迫切需要
与驾驶相关的风险导致了严重的悲剧,其中一个主要的风险就是嗜睡。司机的困倦状态导致了交通事故,造成了巨大的经济损失、重伤甚至死亡。驾驶时间和距离较长的司机更容易陷入困倦状态。与困倦有关的问题促使许多研究人员开发检测机制,以避免事故的发生。研究人员发现,最常见的睡意检测方法有生理测量、行为测量、主观测量和交通工具测量。然而,许多研究人员仍在努力寻找更有效的方法来检测驾驶员的睡意。本文讨论了引起嗜睡的主要原因。还详细阐述了可以检测困倦的各种系统。此外,本文的结论集中在差距,如果工作将带来新的方法和手段,开发一个更好的和可靠的系统检测困倦。本文将对汽车行业做出重大贡献,因为它将提出现有的检测困倦的方法,也将为开发强大的困倦检测系统奠定坚实的基础,该系统可作为每辆汽车的安全功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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