Citation

Satou H, Miura H, Wu S, Mouri H, Aoki S. Trans. Soc. Automot. Eng. Jpn. 2019; 50(2): 473-479.

Copyright

(Copyright © 2019, Society of Automotive Engineers of Japan)

DOI

10.11351/jsaeronbun.50.473

PMID

unavailable

Abstract

For the driver monitoring system in autonomous driving, it is effective not only to detect low-arousal level but also to keep adequate arousal condition by predicting low-arousal level in advance. We focused on driver's acclimatization caused by monotonous visual stimulus during supervising a vehicle autonomous driving. In this paper, we quantified stimulus in visually recognizing such as a driving environment and display information so that we proposed a model that can predict the arousal level in advance.

Language: ja

Keywords

Human Engineering; Drowsiness; Driver Condition Monitoring; VACP