RedQueen_DrivingSecuritySystem:基于深度学习的驾驶者行为监测预警系统,中南大学信息院与交通院合作实现,项目进行中

上传者: 42164534 | 上传时间: 2022-04-30 08:50:49 | 文件大小: 21.75MB | 文件类型: ZIP
基于深度学习的驾驶检测预警系统 道路交通事故每年都给人民的生命财产带来巨大损失,根据事故调查显示,86%的交通事故是由驾驶人员的驾驶行为不当造成。 驾驶行为识别预警控制系统基于深度学习、车联网技术,通过传感设备收集驾驶者面部表情、驾驶姿态、语音信息,并借助5G技术支撑的车辆网系统将这些样本上传至云端,利用深度学习技术评估驾驶者当前是否存在潜在的危险驾驶行为,并给以适当提示或采取强制措施,能有效降低因驾驶者自身原因带来的交通事故,同时结合云计算技术进一步降低人工智能对于硬件设备的限制。 当一种风险驾驶行为被识别后,该系统将会立即发出警报,提醒驾驶员纠正驾驶行为,避免交通事故的发生。为了进一步降低硬件要求并达到识别系统越来越智能,搭建云端服务系统,实时地传输驾驶数据进入云端进行强化学习,以解决危险驾驶行为的个性化与普遍性的矛盾。 说明 1.如果你有时间,可以查看Word----“技术文档

文件下载

资源详情

[{"title":"( 43 个子文件 21.75MB ) RedQueen_DrivingSecuritySystem:基于深度学习的驾驶者行为监测预警系统,中南大学信息院与交通院合作实现,项目进行中","children":[{"title":"RedQueen_DrivingSecuritySystem-master","children":[{"title":"README.md <span style='color:#111;'> 1.71KB </span>","children":null,"spread":false},{"title":"技术报告.pdf <span style='color:#111;'> 19.40MB </span>","children":null,"spread":false},{"title":"技术文档.pdf <span style='color:#111;'> 2.85MB </span>","children":null,"spread":false},{"title":".gitattributes <span style='color:#111;'> 66B </span>","children":null,"spread":false},{"title":"肢体动作识别","children":[{"title":"VGGNet_19_testSet.py <span style='color:#111;'> 6.68KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 3.29KB </span>","children":null,"spread":false},{"title":"loadData.py <span style='color:#111;'> 1.15KB </span>","children":null,"spread":false},{"title":"load_transfer_Data.py <span style='color:#111;'> 1.85KB </span>","children":null,"spread":false},{"title":"VGGNet_19_prediction.py <span style='color:#111;'> 6.42KB </span>","children":null,"spread":false},{"title":"VGGNet_19.py <span style='color:#111;'> 10.53KB </span>","children":null,"spread":false},{"title":"opencv.py <span style='color:#111;'> 311B </span>","children":null,"spread":false},{"title":"model","children":[{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false}],"spread":true},{"title":"VGGNet_19","children":[{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false}],"spread":false},{"title":"loadTest.py <span style='color:#111;'> 3.38KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"vgg16.py <span style='color:#111;'> 1.64KB </span>","children":null,"spread":false},{"title":"vgg19.py <span style='color:#111;'> 3.08KB </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 8.00KB </span>","children":null,"spread":false},{"title":"VGGNet_19_camera.py <span style='color:#111;'> 9.61KB </span>","children":null,"spread":false},{"title":"logs","children":[{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"语音识别","children":[{"title":"README.md <span style='color:#111;'> 415B </span>","children":null,"spread":false},{"title":"Voices","children":[{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false}],"spread":true},{"title":"__pycache__","children":[{"title":"__init__.cpython-36.pyc <span style='color:#111;'> 184B </span>","children":null,"spread":false},{"title":"Voice2text.cpython-36.pyc <span style='color:#111;'> 1.32KB </span>","children":null,"spread":false}],"spread":true},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"Text","children":[{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false}],"spread":true},{"title":"Voice2text.py <span style='color:#111;'> 1.18KB </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 8.00KB </span>","children":null,"spread":false},{"title":"getVoice.py <span style='color:#111;'> 2.05KB </span>","children":null,"spread":false}],"spread":true},{"title":"面部状态识别","children":[{"title":"README.md <span style='color:#111;'> 2.43KB </span>","children":null,"spread":false},{"title":"loadData.py <span style='color:#111;'> 853B </span>","children":null,"spread":false},{"title":"CNN_NO.1_test.py <span style='color:#111;'> 8.27KB </span>","children":null,"spread":false},{"title":"Saver","children":[{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false}],"spread":true},{"title":"CNN_NO.1_prediction.py <span style='color:#111;'> 8.18KB </span>","children":null,"spread":false},{"title":"twoStream_CNN.py <span style='color:#111;'> 7.46KB </span>","children":null,"spread":false},{"title":"DataSet","children":[{"title":"loadTest.py <span style='color:#111;'> 3.50KB </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false}],"spread":true},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"CNN_NO.1.py <span style='color:#111;'> 9.56KB </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 8.00KB </span>","children":null,"spread":false},{"title":"fer2013","children":[{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false}],"spread":false},{"title":"logs","children":[{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":".DS_Store <span style='color:#111;'> 10.00KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明