Paper
22 December 2021 Research on driver's passive fatigue under the condition of autonomous driving based on eye movement and ECG
Pengxu Huang, Jiangtian Li, Chenghui Lan, Junzhe Lu
Author Affiliations +
Proceedings Volume 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021); 120582H (2021) https://doi.org/10.1117/12.2620038
Event: 5th International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 2021, Chongqing, China
Abstract
In autonomous driving tasks, the driver only needs to perform supervision task and would be free from complex driving tasks, which leads to great reduction of brain workload. However, it is known that low level of brain workload will cause driver to enter passive fatigue state naturally. Passive fatigue occurs in autonomous driving condition definitely for most people. Due to the situation above and the high demands of driving security, this article will study the impact of passive fatigue on driving behavior. Compared with manual driving, autonomous driving performed worse in the state of passive fatigue by analyzing emergency response time. In addition, an effected deeper fatigue state as well as the increased takeover time appeared under the condition of passive fatigue. It is disclosed that passive fatigue developed faster than how manual fatigue developed in the same test. Eventually, it has been proved that passive fatigue can be relieved by takeover, through the test with the demonstration of the changes of both subjective evaluation scores and objective indicators in the same way under the research.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pengxu Huang, Jiangtian Li, Chenghui Lan, and Junzhe Lu "Research on driver's passive fatigue under the condition of autonomous driving based on eye movement and ECG", Proc. SPIE 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 120582H (22 December 2021); https://doi.org/10.1117/12.2620038
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KEYWORDS
Eye

Electrocardiography

Statistical analysis

Lithium

Heart

Situational awareness sensors

Control systems

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