首页 | 本学科首页   官方微博 | 高级检索  
     

驾驶疲劳/瞌睡检测方法的研究进展
引用本文:王磊,吴晓娟,俞梦孙. 驾驶疲劳/瞌睡检测方法的研究进展[J]. 生物医学工程学杂志, 2007, 24(1): 245-248
作者姓名:王磊  吴晓娟  俞梦孙
作者单位:1. 山东大学,信息科学与工程学院,济南,250100;山东轻工业学院,电子信息与控制工程学院,济南,250353
2. 山东大学,信息科学与工程学院,济南,250100
3. 航空医学研究所,北京,100036
摘    要:驾驶中的疲劳/瞌睡是引发恶性交通事故的重要原因之一,每年造成大量人员伤亡,直接或间接导致巨额经济损失,因此驾驶疲劳/瞌睡检测技术成为各国研究的热点。介绍了国内外该技术的发展状况,并按照检测特征的不同分类介绍了各种方法,最后提出了目前驾驶中疲劳/瞌睡检测技术面临的挑战和今后需要展开的工作。

关 键 词:驾驶疲劳/瞌睡  计算机视觉  信息融合
修稿时间:2004-04-092004-11-09

Review of Diver Fatigue/Drowsiness Detection Methods
Wang Lei,Wu Xiaojuan,Yu Mengsun. Review of Diver Fatigue/Drowsiness Detection Methods[J]. Journal of biomedical engineering, 2007, 24(1): 245-248
Authors:Wang Lei  Wu Xiaojuan  Yu Mengsun
Affiliation:School of Information Science and Engineering, Shandong University, Ji'nan 250100, China.
Abstract:Driver fatigue/drowsiness is one of the important causes of serious trafic accidents and results in so many people deaths or injuries, but also substantial directly and indirectly economic expenses. Therefore, many countries make great effort on how to detect drowsiness during driving. In this paper, we introduce the recent developments of driver fatigue/drowsiness detection technology of world wide and try to classify the existing methods into several kinds according to different features measured, and analyzed. Finally, the challenges faced to fatigue/drowsiness detection technology and the development trend are presented.
Keywords:Driving fatigue/drowsiness Computer vision Information fusion
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号