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An integrated manual and autonomous driving framework based on driver drowsiness detection

  • Weihua Sheng
  • , Yongsheng Ou
  • , Duy Tran
  • , Eyosiyas Tadesse
  • , Meiqin Liu
  • , Gangfeng Yan
  • Oklahoma State University
  • Shenzhen Institute of Advanced Technology
  • Zhejiang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

23 引用 (Scopus)

摘要

In this paper, we propose and develop a framework for automatic switching of manual driving and autonomous driving based on driver drowsiness detection. We first present the scale-down intelligent transportation system (ITS) testbed. This testbed has four main parts: an arena; an indoor localization system; automated radio controlled (RC) cars; and roadside monitoring facilities. Second, we present the drowsiness detection algorithm which integrates facial expression and racing wheel motion to recognize driver drowsiness. Third, a manual and autonomous driving switching mechanism is developed, which is triggered by the detection of drowsiness. Finally, experiments were performed on the ITS testbed to demonstrate the effectiveness of the proposed framework.

源语言英语
主期刊名IROS 2013
主期刊副标题New Horizon, Conference Digest - 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems
4376-4381
页数6
DOI
出版状态已出版 - 2013
已对外发布
活动2013 26th IEEE/RSJ International Conference on Intelligent Robots and Systems: New Horizon, IROS 2013 - Tokyo, 日本
期限: 3 11月 20138 11月 2013

出版系列

姓名IEEE International Conference on Intelligent Robots and Systems
ISSN(印刷版)2153-0858
ISSN(电子版)2153-0866

会议

会议2013 26th IEEE/RSJ International Conference on Intelligent Robots and Systems: New Horizon, IROS 2013
国家/地区日本
Tokyo
时期3/11/138/11/13

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