...
机译:使用功能级融合和特定于用户的分类来检测驾驶员的睡意
School of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, Republic of Korea;
School of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, Republic of Korea;
Division of Electronics and Electrical Engineering, Dongguk University, Seoul 100-715, Republic of Korea;
Imaging Media Research Center, Korea Institute of Science and Technology, Seoul 136-130, Republic of Korea;
School of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, Republic of Korea,Sunway University, 46150 Petaling Jaya, Selangor, Malaysia;
Drowsiness detection system; Blink detection; Eye state classification; Feature-level fusion; User-specific classification;
机译:融合来自高级驾驶员辅助系统(ADAS)的优化指标,以检测驾驶员的睡意
机译:与基于机器学习的系统的实时V2V通信,用于检测驱动程序的嗜睡
机译:一种基于机器学习的基于机器的系统,用于检测驱动程序的嗜睡
机译:检测驱动器基于嗜好的融合多传感器方法
机译:通过驾驶员性能指标检测昏昏欲睡的驾驶员。
机译:融合来自高级驾驶员辅助系统(ADAS)的优化指标以检测驾驶员的睡意
机译:融合高级驾驶员辅助系统(aDas)的驾驶员瞌睡检测优化指标
机译:方向盘信息检测驾驶员困倦和相关车道偏离的可能性