Distinguishing driver intentions in visual distractions

Shiro Kumano, Kenichi Horiguchi, Daisuke Yamaguchi, Yoichi Sato, Yoshihiro Suda, Takahiro Suzuki

研究成果: Paper査読

抄録

We tackle the problem of distinguishing driver intentions in visual distractions to accomplish comfortable human-machine interactions. Our discrimination targets are threefold: no visual distractions, i.e., looking directly ahead, and two types of visual distractions that have opposite affects on safety, i.e., checking side blind spots and gazing at non-driving-related objects. The stochastic relationship between driver states and the three types of observations, or the driver's physical actions, artifact operations, and driving situations, is modeled with a Dynamic Bayesian Network. Our experiments with a realistic driving simulator demonstrated how effectively of the proposed method enabled these driver states to be recognized.

本文言語English
出版ステータスPublished - 2009 1 1
外部発表はい
イベント16th World Congress on Intelligent Transport Systems and Services, ITS 2009 - Stockholm, Sweden
継続期間: 2009 9 212009 9 25

Other

Other16th World Congress on Intelligent Transport Systems and Services, ITS 2009
国/地域Sweden
CityStockholm
Period09/9/2109/9/25

ASJC Scopus subject areas

  • 機械工学
  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • 電子工学および電気工学
  • 人工知能
  • 輸送
  • 自動車工学
  • 制御およびシステム工学

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