Research on vehicle-based driver status/performance monitoring : development, validation, and refinement of algorithms for detection of driver drowsiness.

Author(s)
Wierwille, W.W. Wreggit, S.S. Kirn, C.L. Ellsworth, L.A. & Fairbanks, R.J.
Year
Abstract

This report summarizes the results of a 3-year research project to develop reliable algorithms for the detection of motor vehicle driver impairment due to drowsiness. These algorithms are based on driving performance measures that can potentially be computed on-board a vehicle during highway driving, such as measures of steering wheel movements and lane tracking. A principal objective of such algorithms is that they correlate highly with, and thus are indicative of, psychophysiological measures of driver alertness/fatigue. Additional objectives are that developed algorithms produce low false alarm rates, that there should be minimal encumbering of (interference with) the driver, and that the algorithms should be suitable for later field testing. This report describes driving simulation and other studies performed to develop, validate, and refine such algorithms. (Author/publisher)

Publication

Library number
20210564 ST [electronic version only]
Source

Washington, D.C., U.S. Department of Transportation DOT, National Highway Traffic Safety Administration NHTSA, 1994, XXVIII + 219 p., ref. DOT HS 808 247

Publication (link)

Our collection

This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.