摘要
疲劳驾驶是诱发交通事故的重要因素,研究如何快速准确地识别出驾驶员的疲劳状态,并在事故发生前进行疲劳预警,对预防疲劳驾驶、促进交通安全具有重要的研究价值和社会意义。文章从疲劳的检测原理出发,对比介绍了基于驾驶员生理特征、车辆行为特征、驾驶员面部特征的疲劳检测方法,重点分析了基于机器视觉的疲劳驾驶检测研究现状及其特点,以期为研究人员提供新思路。
Fatigue driving is an important factor that induces traffic accidents,and it is of great research value and social significance to study how to quickly and accurately identify the fatigue state of drivers and provide fatigue warning before accidents occur to prevent fatigue driving and promote traffic safety.This paper introduces fatigue detection methods based on driver's physiolo-gical characteristics,vehicle behavior characteristics and driver's facial characteristics in comparison from the principle of fatigue detection,and analyzes the current status of research on fatigue driving detection based on machine vision and its characteristics,in order to provide new ideas for researchers.
作者
陈见哲
CHEN Jianzhe(School of Automobile,Chang'an University,Xi'an 710064,China)
出处
《汽车实用技术》
2023年第21期179-186,共8页
Automobile Applied Technology
关键词
疲劳驾驶
检测方法
驾驶行为
机器视觉
交通安全
Fatigue driving
Detection method
Driving behavior
Machine vision
Traffic safety
