摘要
疲劳驾驶是引发交通事故的重要因素,准确监测驾驶员疲劳状态并预警对有效避免疲劳驾驶,减少交通事故具有重要意义.以不影响驾驶员操作和舒适度的方式检测图像、脉搏和方向盘运动等多源信号,提出基于加权D-S证据理论的疲劳决策方法,提高了疲劳监测的准确性,增强了系统的鲁棒性.
Drowsy driving easily triggers traffic accidents. It is of importance to accurately monitor the state of driver fatigue and to forewarn him/her for avoiding a traffic accident. Multi-source information including image, human pulse and the steering wheel movement was detected without disturbing the driver. A method of decision-making on basis of the weighted Dempster-Shafer theory was presented, which improves the veracity of monitoring the driver fatigue and the robustness of the designed system.
出处
《车辆与动力技术》
2010年第2期28-31,35,共5页
Vehicle & Power Technology
基金
天津市应用基础及前沿技术项目(资助号:08JCYBJC26200)
