Vehicle-Based Drowsy Driver Detection: Current Status and Future Prospects

Details

• Creators:
  Knipling, Ronald R. ; Wierwille, W. W.
• Corporate Contributors:
  United States. National Highway Traffic Safety Administration. Office of Crash Avoidance Research ; Virginia Polytechnic Institute and State University. Transportation Institute ; United States. Federal Highway Administration. Intelligent Vehicle Highway Systems Research Division
• Subject/TRT Terms:
  • Intelligent transportation systems
  • Driver vehicle interfaces
  • High risk drivers
  • Drowsiness
  • Accident prevention
  • Countermeasures
  • Detectors
  • Driver fatigue
  • Driver performance
  • Drowsiness
  More +
• Resource Type:
  Research Paper
• Geographical Coverage:
  United States
• Corporate Publisher:
  United States. National Highway Traffic Safety Administration
• Description:
  Driver drowsiness is a major, though elusive, cause of traffic crashes. As part of its
  
  IVHS/human factors program, NHTSA is supporting research to develop in-vehicle systems .
  
  to continuously monitor driver alertness and performance. Scientific support for the
  
  feasibility of this countermeasure concept is provided by research showing that: Drowsy drivers typically do not “drop off’ instantaneously. Instead, there is a preceding period of measurable performance decrement with associated psychophysiological signs; Drowsiness can be detected with reasonable accuracy using driving performance measures such as “drift-and-jerk” steering and fluctuations in vehicle lateral lane position; The use of direct, unobtrusive driver psychophysiological monitoring (e.g., of eye closure) could potentially enhance drowsiness detection significantly; The use of secondary/subsidiary auditory tasks (e.g., auditory recognition tasks presented to the driver via recorded voice) could further enhance detection accuracy.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/15347/dot_15347_DS1.pdf
• File Type:
  [PDF - 245.97 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:1d5151963bce13bbc039007c42a38126f8c4c92aa78f2fa5996c1b214ae59b1513ae333be50e00918f9be9cc8dcde95de1fdbd23cf360816d1bd16f935215bbc