CN110232327B - 一种基于梯形级联卷积神经网络的驾驶疲劳检测方法 - Google Patents
一种基于梯形级联卷积神经网络的驾驶疲劳检测方法 Download PDFInfo
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CN110765980A (zh) * | 2019-11-05 | 2020-02-07 | 中国人民解放军国防科技大学 | 一种异常驾驶的检测方法及装置 |
CN111191573A (zh) * | 2019-12-27 | 2020-05-22 | 中国电子科技集团公司第十五研究所 | 一种基于眨眼规律识别的驾驶员疲劳检测方法 |
CN112580464A (zh) * | 2020-12-08 | 2021-03-30 | 北京工业大学 | 一种上眼睑遮挡虹膜的判断方法及装置 |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107194346A (zh) * | 2017-05-19 | 2017-09-22 | 福建师范大学 | 一种汽车疲劳驾驶预测方法 |
KR20180066610A (ko) * | 2016-12-09 | 2018-06-19 | 동국대학교 산학협력단 | 회선 신경망 기반 눈 개폐 분류 장치 및 방법 |
CN108294759A (zh) * | 2017-01-13 | 2018-07-20 | 天津工业大学 | 一种基于cnn眼部状态识别的驾驶员疲劳检测方法 |
CN109002774A (zh) * | 2018-06-28 | 2018-12-14 | 清华大学天津高端装备研究院 | 一种基于卷积神经网络的疲劳监测装置及方法 |
CN109740477A (zh) * | 2018-12-26 | 2019-05-10 | 联创汽车电子有限公司 | 驾驶员疲劳检测系统及其疲劳检测方法 |
Family Cites Families (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102594927A (zh) * | 2012-04-05 | 2012-07-18 | 高汉中 | 基于神经网络的云端服务器结构 |
CN103020594B (zh) * | 2012-12-03 | 2016-01-20 | 清华大学苏州汽车研究院(吴江) | 利用在线学习消除驾驶人个体差异性的疲劳状态检测方法 |
US20160132726A1 (en) * | 2014-05-27 | 2016-05-12 | Umoove Services Ltd. | System and method for analysis of eye movements using two dimensional images |
WO2016106383A2 (en) * | 2014-12-22 | 2016-06-30 | Robert Bosch Gmbh | First-person camera based visual context aware system |
CN106128032A (zh) * | 2016-07-05 | 2016-11-16 | 北京理工大学珠海学院 | 一种疲劳状态监测及预警方法及其系统 |
US10007854B2 (en) * | 2016-07-07 | 2018-06-26 | Ants Technology (Hk) Limited | Computer vision based driver assistance devices, systems, methods and associated computer executable code |
CN106203394B (zh) * | 2016-07-26 | 2019-04-26 | 浙江捷尚视觉科技股份有限公司 | 基于人眼状态检测的疲劳驾驶安全监测方法 |
US10235565B2 (en) * | 2016-12-21 | 2019-03-19 | Volkswagen Ag | System and methodologies for occupant monitoring utilizing digital neuromorphic (NM) data and fovea tracking |
CN107240118B (zh) * | 2017-05-19 | 2020-10-09 | 成都信息工程大学 | 一种基于rgb颜色直方图的判别式跟踪方法 |
US20190077409A1 (en) * | 2017-07-31 | 2019-03-14 | Alcohol Countermeasure Systems (International) Inc. | Non-intrusive assessment of fatigue in drivers using eye tracking |
CN108009634B (zh) * | 2017-12-21 | 2021-05-25 | 美的集团股份有限公司 | 一种卷积神经网络的优化方法、装置及计算机存储介质 |
CN108629326A (zh) * | 2018-05-14 | 2018-10-09 | 中国科学院自动化研究所 | 目标体的动作行为识别方法及装置 |
CN109271875B (zh) * | 2018-08-24 | 2019-06-14 | 中国人民解放军火箭军工程大学 | 一种基于眉部和眼部关键点信息的疲劳检测方法 |
CN109272045A (zh) * | 2018-09-25 | 2019-01-25 | 华南农业大学 | 一种基于神经网络和迁移学习的水果图像分类方法及装置 |
CN109509195B (zh) * | 2018-12-12 | 2020-04-17 | 北京达佳互联信息技术有限公司 | 前景处理方法、装置、电子设备及存储介质 |
-
2019
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Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20180066610A (ko) * | 2016-12-09 | 2018-06-19 | 동국대학교 산학협력단 | 회선 신경망 기반 눈 개폐 분류 장치 및 방법 |
CN108294759A (zh) * | 2017-01-13 | 2018-07-20 | 天津工业大学 | 一种基于cnn眼部状态识别的驾驶员疲劳检测方法 |
CN107194346A (zh) * | 2017-05-19 | 2017-09-22 | 福建师范大学 | 一种汽车疲劳驾驶预测方法 |
CN109002774A (zh) * | 2018-06-28 | 2018-12-14 | 清华大学天津高端装备研究院 | 一种基于卷积神经网络的疲劳监测装置及方法 |
CN109740477A (zh) * | 2018-12-26 | 2019-05-10 | 联创汽车电子有限公司 | 驾驶员疲劳检测系统及其疲劳检测方法 |
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