Vehicle-based drowsy driver detection : current status and future prospects

Knipling, Ronald R.; Wierwille, W. W.

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Vehicle-based drowsy driver detection : current status and future prospects

1994-01-01
By Knipling, Ronald R. ; Wierwille, W. W.

[PDF-245.97 KB]

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Creators:

Knipling, Ronald R. ; Wierwille, W. W.

Knipling, Ronald R. ; Wierwille, W. W. Less -
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

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 Less -
Subject/TRT Terms:

[+]

Accident Prevention Countermeasures Detectors Driver Fatigue Driver Performance Driver Vehicle Interfaces Drowsiness Fatigue High Risk Drivers Highway Safety In-vehicle Sensing Systems Intelligent Transportation Systems Sensing Devices Warning Signals
Resource Type:

Research Paper
Abstract:

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
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:357fd303470732beb7e342e19760cfa06887dcc31fd6c0afa946fa6e44c13dd0
Download URL:

https://rosap.ntl.bts.gov/view/dot/15347/dot_15347_DS1.pdf
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Vehicle-based drowsy driver detection : current status and future prospects

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