accelerometers; driver information systems; learning (artificial intelligence); road safety; road vehicles; steering systems; support vector machines; SWM; accelerometer-based SWM; accidents; driver drowsiness detection; fatalities; fatigued drivers; installation complexity; lifesaving methods; low-cost accelerometer-based detection methods; machine learning algorithms; motor vehicles; reduced alertness level; steering wheel movements; support vector machines; Accuracy; Electroencephalography; Monitoring; Sleep; Support vector machines; Vehicles; Wheels; accidents; drowsiness; drowsy driving; highway safety; road safety;
机译:评估基于加速度计的困倦驾驶检测方法的功效
机译:基于图像处理和特征提取方法的鲁棒实时驱动器跳转检测
机译:驾驶员困倦检测的各种方法:概述
机译:基于IR图像和EEG信号的收敛性的低成本实时驱动器跳转检测
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:驾驶员嗜睡检测:侵入性和非侵入式信号采集方法的比较
机译:非侵入性检测驾驶员困倦的综合方法。