驾驶员疲劳驾驶检测方法研究综述

doi:10.3778/j.issn.1002-8331.2204-0053

摘要/Abstract

摘要： 由于疲劳驾驶导致的交通事故占比逐年上涨，引起了研究人员的广泛关注。目前疲劳驾驶检测的研究受限于科技水平、环境、道路等各种因素的影响，导致疲劳驾驶检测技术难以进一步发展。介绍了近10年内驾驶员疲劳驾驶检测方法的最新进展。阐述并回顾了主动检测法和被动检测法两大类。根据两大类检测方法各自不同的特征进行细致的分类。进一步分析了各类疲劳驾驶检测方法的优势和局限，同时对主动检测法中基于面部特征的检测方法近3年内所使用的检测算法进行了分析和总结。归纳了各类疲劳驾驶检测方法存在的不足，同时提出疲劳检测领域未来的研究趋势，为研究人员进一步的研究提供新的思路。

关键词: 疲劳驾驶, 主动检测法, 被动检测法, 检测算法

Abstract: The proportion of traffic accidents caused by fatigue driving has increased year by year, which has attracted widespread attention from researchers. At present, the research of fatigue driving testing is limited by various factors such as scientific and technological level, environment, and road, which makes it difficult to further develop fatigue driving detection technology. This article introduces the latest progress in driver fatigue driving detection methods in the past decade. The two categories of active detection method and passive detection method are elaborated and reviewed. According to the different characteristics of the two major types of detection methods, it is carefully classified. The advantages and limitations of various fatigue driving detection methods are further analyzed, and the detection algorithms used in the active detection method based on facial features in the past three years are analyzed and summarized. Finally, the shortcomings of various fatigue driving detection methods are summarized, and the future research trends in the field of fatigue detection are proposed, which provides new ideas for researchers to further research.

Key words: fatigue driving, subjective detection method, objective detection method, detecting algorithm

张瑞, 朱天军, 邹志亮, 宋瑞. 驾驶员疲劳驾驶检测方法研究综述[J]. 计算机工程与应用, 2022, 58(21): 53-66.

ZHANG Rui, ZHU Tianjun, ZOU Zhiliang, SONG Rui. Review of Research on Driver Fatigue Driving Detection Methods[J]. Computer Engineering and Applications, 2022, 58(21): 53-66.

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