Application of a Heavy Vehicle Drowsy Driver Detection System Carnegie Mellon Robotics Institute

Format:

Book

Conference/Event

Author/Creator:

Grace, Richard, author.

Conference Name:

International Truck and Bus Meeting & Exposition (1999-11-15 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 1999

Summary:

Driver drowsiness/fatigue is an important cause of combination-unit truck crashes. Recent analyses of the problem estimates that 15% - 36% of all crashes fatal to combination-unit-truck drivers are drowsiness related. The cost of these crashes is estimated to be $2,060 per vehicle over the lifetime of a combination-unit truck.Drowsy driver detection methods can form the basis of a system to potentially reduce the number of crashes related to drowsy driving. Recently, significant strides have been made in the development and application of a real-time drowsiness monitor. The monitor employs a novel dual image video processing technique to measure PERCLOS, a scientifically validated measure of drowsiness. Uses for the PERCLOS monitor include:This article will explore the uses of such a device within a fatigue management framework designed to minimize observed drowsiness, improve driver sleep habits and improve scheduling practices

Notes:

Vendor supplied data

Publisher Number:

1999-01-3754

Access Restriction:

Restricted for use by site license