汽车驾驶员驾驶疲劳监测技术研究进展

Advances of Fatigue Detecting Technology for Drivers

当今驾驶疲劳已成为引发交通事故的主要原因,但由于其形成原因复杂,监测技术和手段都还不成熟。驾驶疲劳客观监测技术是目前研究的热点,主要包括对驾驶员脑电图、心电图、眼睑眨动、头部运动轨迹、方向盘的运动、车辆行驶方向等的监测技术。由于上述监测技术都存在一定的局限性,因此,笔者认为,今后的研究应该从以下4个方面着手进行:①研制非接触性高灵敏度传感器;②寻求新的监测指标和方法;③将多传感器信息融合技术应用于监测技术中;

Driving fatigue is one of the main causes of traffic accidents, and it's very difficult to be detected. Recently, most of the researchers are concentrating on objective detecting method, including EEG, EKG, PERCLOS, etc. But there are limitations about the above mentioned detecting methods. Authors consider following aspects should be emphasized in future study: ① Non touched sensitive sensors should be developed. ② New detection indexes should be searched. ③ To merge multi sensors information into monitoring technology. ④ To develop high performance but low price detecting device.