@article{ref1,
title="Analysis of driver's cognitive characteristics for speed control using deep learning",
journal="Transactions of Society of Automotive Engineers of Japan",
year="2021",
author="Osugi, Ryusei and Okafuji, Yuki and Wada, Takahiro",
volume="52",
number="2",
pages="355-362",
abstract="It is important to elucidate what the drivers perceive to operate the vehicle in order to apply the driver characteristics to self-driving cars. Therefore, we proposed the driver's cognitive-operation model using deep learning. Then, we used the proposed model to analyze the cognitive areas of drivers that influence the speed control of the vehicle. We verified whether the results obtained in our study are consistent with the driver behavior that is proven by the prior studies. As a result, we showed the reliability of the proposed driver's cognitive-operation model that can extract the driver behavior.<p /> <p>Language: ja</p>",
language="ja",
issn="0287-8321",
doi="10.11351/jsaeronbun.52.355",
url="http://dx.doi.org/10.11351/jsaeronbun.52.355"
}