The implication of non-driving activities on situation awareness and take-over performance in level 3 automation

1月 1, 2020·
Lichao Yang
,
Mahdi Babayi Semiromi
,
Daniel Auger
,
Arkadiusz Dmitruk
,
James Brighton
Yifan Zhao
Yifan Zhao
· 0 分钟阅读时长
DOI
摘要
The driver’s take-over performance is of great importance for driving safety in conditionally automated driving since the driver is required to respond appropriately to control the vehicle if there is a system failure. The engagement of different non-driving activities (NDAs), considered as the main factor of the driver’s take-over performance has been investigated in this study from both perspectives of the driver’s situation awareness and take-over quality. The activities are divided into 2 groups, which are active interaction mode and passive interaction mode based on the engagement of human and object. The results suggest that the engagement of NDAs could reduce the driver’s situation awareness. Driver’s attention level is different for each activity. Particularly, active interaction mode NDAs requests more mentally demanding and drivers are not sensitive to the driving situation change when they are doing such activities. In addition, there is no significant difference in the maximum lateral error with NDAs engagement. However, it takes more time to achieve a safe control transition for drivers who are doing the NDAs. The active interaction mode NDAs request even more time. Moreover, the transition process could benefit from steering wheel haptic feedback torque, which can be considered as an effective take-over assistance system.
类型
出版物
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, 5075–5080. IEEE Computer Society
publications
赵一帆
作者
赵一帆 (he/him)
讲席教授
赵一帆(Yifan Zhao), 宁波东方理工大学力学与机械工程学院讲席教授, 英国皇家工程院工业会士, 英国高等教育学会会士, 2025入选国家级高层次人才计划。曾任英国克兰菲尔德大学航空、交通与制造学院终身教授、博士生导师, 担任全生命周期工程服务实验室主任。2000年与2003年分别获得北京理工大学自动控制专业学士和硕士学位, 2007年获得英国谢菲尔德大学自动控制与系统工程博士学位。累计发表高水平学术论文200余篇, 其中包含IEEE Transactions顶刊论文30余篇, 以及CVPR、MICCAI、CIRP等国际顶级会议论文。出版学术专著6部, 获授权国际专利3项。已培养博士后6人、博士研究生20余人、硕士研究生80余人, 国际访问学者10名。主持和参与多项英国工程与自然科学研究理事会、英国皇家工程院、英国创新署以及空客和捷豹路虎等国际头部企业资助的重大科研项目, 累计经费逾8000万元人民币。在知识转化方面, 其研究成果已成功应用于飞机设计与运维、智能制造、自动驾驶以及智慧建造等领域。