Driver Monitoring, Risk Perception and Automated Vehicles

驾驶员监控、风险感知和自动驾驶车辆

• 批准号: 1941984
• 金额: --
• 依托单位: University of Leeds
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1941984
• 关键词: Driver; Monitoring; Risk; Perception; Automated

The aim of this project is to use human psychophysiological measures such as eye and head tracking, seat and body position etc., to establish how vehicle automation affects participants' engagement in the driving task and to understand what drivers do when automation is engaged. As the automated systems advance in capability, there is less and less call for drivers to be involved in the driving task. However, should the system reach its limitations or the vehicle come to the end of a road where automation is no longer possible, the vehicle needs to ensure that the driver is in a safe and ready state to resume control from the vehicle and re-engage in manual driving. This transition of control back to the driver must be supported by a driver monitoring system which establishes whether the driver is alert and capable of resuming control. The proposed research programme will therefore establish what type of monitoring is successful in providing this information and also investigate methods for ensuring the driver is not able to completely disengage from control of the vehicle. Understanding how to keep the driver vigilant, yet not bored of monitoring automation, is also an important consideration of this project.

该项目的目的是使用人类心理生理学测量，如眼睛和头部跟踪，座位和身体位置等，以确定车辆自动化如何影响参与者对驾驶任务的参与，并了解驾驶员在自动化参与时会做什么。随着自动化系统在能力上的进步，对驾驶员参与驾驶任务的要求越来越少。然而，如果系统达到其限制或车辆到达自动化不再可能的道路尽头，则车辆需要确保驾驶员处于安全且准备就绪的状态，以恢复对车辆的控制并重新参与手动驾驶。这种将控制权转移回驾驶员的过程必须得到驾驶员监控系统的支持，该系统确定驾驶员是否警觉并能够恢复控制。因此，拟议的研究计划将确定哪种类型的监测能够成功地提供这些信息，并研究确保驾驶员无法完全脱离车辆控制的方法。了解如何保持驾驶员的警惕性，但不厌倦监控自动化，也是这个项目的一个重要考虑因素。