How Driver Monitoring System Effectively Alerts Drivers of Partially Automated Vehicles

Wen Jiang, Xiaojun Luo, Jifang Wang
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Abstract

Automated driving systems today cannot ensure that drivers can be completely liberated from the driving task. In this condition, Driver Monitoring System (DMS) through non-driving tasks could be necessary to ensure alertness and availability during highly automated driving. How to identify and alert by DMS in Shared Autonomy Era is virtually worth researching in the field of Human Machine Interface. By understanding different types of drivers and drivers' different states on their response time when they perceive DMS or take over alert. Further sort out the factors that affect the response time of drivers, and then output suggestions with different levels of alerts through the comprehensive judgment of the system to help carmakers develop more flexible and humanized human-computer interaction principles.
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驾驶员监控系统如何有效提醒部分自动驾驶车辆的驾驶员
如今的自动驾驶系统并不能确保驾驶员完全从驾驶任务中解放出来。在这种情况下,驾驶员监控系统(DMS)通过非驾驶任务来确保高度自动驾驶期间的警觉性和可用性是必要的。在共享自治时代,如何利用DMS进行识别和预警是人机界面领域中一个非常值得研究的问题。通过了解不同类型的驾驶员和驾驶员在感知DMS或接管警报时的不同状态对其反应时间的影响。进一步梳理影响驾驶员响应时间的因素,然后通过系统的综合判断输出不同预警级别的建议,帮助汽车制造商制定更灵活、人性化的人机交互原则。
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