驾驶疲劳与困倦检测技术的研究进展

Adil Ahmad Rather, Tasawor Ahmed Sofi, Nowreen Mukhtar
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引用次数: 7

摘要

在驾驶过程中,困倦和疲劳可能是致命的,因为它可能导致事故。因此,迫切需要在驾驶过程中对驾驶员进行困倦和疲劳检测。本文介绍了一些重要的和可能的技术,以使读者对技术如何从交通事故中拯救数百万人有一个全面的了解。本文介绍了目前正在使用的各种有效技术的最新进展。迄今为止使用的各种技术主要基于眼/头跟踪和方向盘转向模式跟踪。这些技术分为五个不同的类别,即主观报告、生物特征、物理特征、车辆特征和混合特征。本文还讨论了当前技术面临的问题和未来需要解决的问题。我们相信这项研究提供了对困倦和疲劳检测技术的清晰理解,并有助于在不久的将来改进当前的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey on Fatigue and Drowsiness Detection Techniques in Driving
Drowsiness and fatigue could be fatal during driving as it can lead to accidents. So, there is an acute demand and need of drowsiness cum fatigue detection of drivers during driving sessions. In this paper some important and possible techniques are presented to give reader a comprehensive idea of how technology could save millions from traffic accidents. This paper presents the state-of-the-art review of various potent techniques which are presently in use. Various techniques used till date are majorly based on eye/head tracking and wheel steering pattern tracking. These techniques are categorized into five different categories i.e., Subjective reporting, biological characteristics, physical characteristics, vehicular characteristics, and hybrid characteristics. This paper also discusses the problems faced by the current technology which need to be addressed in future. We believe that this study offers a clear understanding of drowsiness and fatigue detection techniques and contribute to the improvements of the current technology in near future.
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