A driver situational awareness estimation system based on standard glance model for unscheduled takeover situations

Hiroaki Hayashi, Mitsuhiro Kamezaki, Udara E. Manawadu, Takahiro Kawano, Takaaki Ema, Tomoya Tomita, Lollett Catherine, Shigeki Sugano

研究成果: Conference contribution

抜粋

Highly-automated vehicles operating in level 3 issue a takeover request (TOR) to transfer the control authority from the autonomated driving (AD) system to a human driver when they encounter system limitations. In such 'unscheduled' situations, the driver is required to immediately re-engage in the driving task both physically and cognitively, and perform suitable action, e.g. lane change. Thus, evaluating driver engagement by the AD system would lead to safe takeover. Physical engagement is easily estimated but there are few studies on evaluating cognitive engagement. In this study, we thus developed a driver situational awareness estimation system based on glance information. We first defined seven standard glance areas and driver glance classification model using a convolutional neural network. We then obtained a large amount of glance data when both safe and dangerous takeover situations (lane change) by using a driving simulator, and we derived the standard glance model including the glance area and time, in order to estimate whether driver gained enough cognitive re-engagement in real-time. To evaluate the effectiveness of the proposed model, we created a situational awareness assist system to visually indicate regions with insufficient glance. As a result, we found that the assist system drastically improved driving performance and reduced the number of accidents during takeover.

元の言語English
ホスト出版物のタイトル2019 IEEE Intelligent Vehicles Symposium, IV 2019
出版者Institute of Electrical and Electronics Engineers Inc.
ページ798-803
ページ数6
ISBN(電子版)9781728105604
DOI
出版物ステータスPublished - 2019 6 1
イベント30th IEEE Intelligent Vehicles Symposium, IV 2019 - Paris, France
継続期間: 2019 6 92019 6 12

出版物シリーズ

名前IEEE Intelligent Vehicles Symposium, Proceedings
2019-June

Conference

Conference30th IEEE Intelligent Vehicles Symposium, IV 2019
France
Paris
期間19/6/919/6/12

ASJC Scopus subject areas

  • Computer Science Applications
  • Automotive Engineering
  • Modelling and Simulation

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  • これを引用

    Hayashi, H., Kamezaki, M., Manawadu, U. E., Kawano, T., Ema, T., Tomita, T., Catherine, L., & Sugano, S. (2019). A driver situational awareness estimation system based on standard glance model for unscheduled takeover situations. : 2019 IEEE Intelligent Vehicles Symposium, IV 2019 (pp. 798-803). [8814067] (IEEE Intelligent Vehicles Symposium, Proceedings; 巻数 2019-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IVS.2019.8814067