Transportation Technologies for Sustainability

2013 Edition
| Editors: Mehrdad Ehsani, Fei-Yue Wang, Gary L. Brosch

Driver Inattention Monitoring System for Intelligent Vehicles

Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-5844-9_787

Definition of the Subject

Driver inattention is a major factor in highway crashes. The National Highway Traffic Safety Administration (NHTSA) estimates that approximately 25% of police-reported crashes involve some forms of driver inattention – the driver is distracted, asleep or fatigued, or otherwise “lost in thought” [ 1]. This entry reviews the state-of-the-art technologies for monitoring driver inattention, which can be classified into two main categories: distraction and fatigue. Driver inattention is a major factor in most traffic accidents. Research and development has been actively carried out for decades with the goal of precisely determining the drivers’ state of mind. This entry summarizes these approaches by dividing them into five different types of measures:
  1. 1.

    Subjective report measures

     
  2. 2.

    Driver biological measures

     
  3. 3.

    Driver physical measures

     
  4. 4.

    Driving performance measures

     
  5. 5.

    Hybrid measures

     

Among these approaches, subjective report measures and driver...

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Graduate School of Science and TechnologyKumamoto UniversityKumamotoJapan
  2. 2.Graduate School of Science and Technology, Computer Science DepartmentKumamoto UniversityKumamotoJapan