The invention discloses a vehicle active safety control method and device. The method comprises the steps of carrying out the segmentation of a plurality of frames of video images corresponding to a first video data flow transmitted by an ADAS unit, so as to obtain an ROI region of each frame of video image, and obtaining the current driving data according to the pixel information of the ROI region, determining a corresponding preset image processing algorithm according to the driving data, and determining forward-looking data according to the preset image processing algorithm, identifying a plurality of preset key points of the eyes, the trunk and the limbs of the driver in the second video data flow sent by the DSM unit based on a preset machine learning algorithm, determining fatigue according to a plurality of preset key points of the eyes, determining the distracting duration according to the preset key points of the trunk and the limbs, and if the forward looking data and/or fatigue and/or distracting duration are/is abnormal, sending early warning information to the driver, so that the reliability of vehicle active safety control is further improved, and the driving safety is improved.
本发明公开了一种车辆主动安全控制方法和设备,该方法包括:对ADAS单元发送的第一视频数据流对应的多帧视频图像进行分割处理,以获得每帧视频图像的ROI区域,并根据所述ROI区域的像素信息获取当前的行车数据;根据所述行车数据确定对应的预设图像处理算法,并根据所述预设图像处理算法确定前视数据;基于预设机器学习算法识别DSM单元发送的第二视频数据流中所述驾驶员的眼部、躯干和四肢的多个预设关键点;根据所述眼部的多个预设关键点确定疲劳度;根据所述躯干和所述四肢的多个预设关键点确定分神时长,若所述前视数据和或疲劳度和或分神时长存在异常,向所述驾驶员发送预警信息,从而进一步提高车辆主动安全控制的可靠性,提高了行车安全。
Vehicle active safety control method and device
一种车辆主动安全控制方法和设备
22.01.2021
Patent
Elektronische Ressource
Chinesisch
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