CN113191214A - 一种驾驶人员失误操作风险预警方法及*** - Google Patents
一种驾驶人员失误操作风险预警方法及*** Download PDFInfo
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9990553B1 (en) * | 2016-06-14 | 2018-06-05 | State Farm Mutual Automobile Insurance Company | Apparatuses, systems, and methods for determining degrees of risk associated with a vehicle operator |
CN108446600A (zh) * | 2018-02-27 | 2018-08-24 | 上海汽车集团股份有限公司 | 一种车辆驾驶员疲劳监测预警***及方法 |
US10289938B1 (en) * | 2017-05-16 | 2019-05-14 | State Farm Mutual Automobile Insurance Company | Systems and methods regarding image distification and prediction models |
CN110582437A (zh) * | 2019-05-31 | 2019-12-17 | 驭势(上海)汽车科技有限公司 | 驾驶提醒方法、驾驶状态检测方法和计算设备 |
CN110991353A (zh) * | 2019-12-06 | 2020-04-10 | 中国科学院自动化研究所 | 识别驾驶员驾驶行为及危险驾驶行为预警方法 |
CN111414874A (zh) * | 2020-03-26 | 2020-07-14 | 中国平安财产保险股份有限公司 | 基于人脸的驾驶风险预测方法、装置、设备和存储介质 |
CN111516700A (zh) * | 2020-05-11 | 2020-08-11 | 安徽大学 | 一种驾驶员分心细粒度监测方法和*** |
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2021
- 2021-04-12 CN CN202110390322.1A patent/CN113191214A/zh active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9990553B1 (en) * | 2016-06-14 | 2018-06-05 | State Farm Mutual Automobile Insurance Company | Apparatuses, systems, and methods for determining degrees of risk associated with a vehicle operator |
US10289938B1 (en) * | 2017-05-16 | 2019-05-14 | State Farm Mutual Automobile Insurance Company | Systems and methods regarding image distification and prediction models |
CN108446600A (zh) * | 2018-02-27 | 2018-08-24 | 上海汽车集团股份有限公司 | 一种车辆驾驶员疲劳监测预警***及方法 |
CN110582437A (zh) * | 2019-05-31 | 2019-12-17 | 驭势(上海)汽车科技有限公司 | 驾驶提醒方法、驾驶状态检测方法和计算设备 |
CN110991353A (zh) * | 2019-12-06 | 2020-04-10 | 中国科学院自动化研究所 | 识别驾驶员驾驶行为及危险驾驶行为预警方法 |
CN111414874A (zh) * | 2020-03-26 | 2020-07-14 | 中国平安财产保险股份有限公司 | 基于人脸的驾驶风险预测方法、装置、设备和存储介质 |
CN111516700A (zh) * | 2020-05-11 | 2020-08-11 | 安徽大学 | 一种驾驶员分心细粒度监测方法和*** |
Non-Patent Citations (3)
Title |
---|
孙忆晨: "基于视觉特征的疲劳检测算法研究", 《中国优秀硕士学位论文全文数据库 (工程科技Ⅱ辑)》 * |
崔子岩: "基于时序性面部动作信息的驾驶员状态检测框架", 《计算机应用研究》 * |
王宏雁: "汽车驾驶人姿态监测***研究综述", 《中国公路学报》 * |
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