Distinguishing driver intentions in visual distractions

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

Research output: Contribution to conferencePaperpeer-review


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.

Original languageEnglish
Publication statusPublished - 2009 Jan 1
Externally publishedYes
Event16th World Congress on Intelligent Transport Systems and Services, ITS 2009 - Stockholm, Sweden
Duration: 2009 Sep 212009 Sep 25


Other16th World Congress on Intelligent Transport Systems and Services, ITS 2009

ASJC Scopus subject areas

  • Mechanical Engineering
  • Computer Networks and Communications
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Transportation
  • Automotive Engineering
  • Control and Systems Engineering


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