Improving Methods to Measure Attentiveness through Driver Monitoring

Virginia Tech; Safety through Disruption (Safe-D) University Transportation Center (UTC)

doi:10.21949/1528812

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Improving Methods to Measure Attentiveness through Driver Monitoring

[PDF-1.13 MB]

English

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Details:

Corporate Creators:

Virginia Tech ; Safety through Disruption (Safe-D) University Transportation Center (UTC)

Virginia Tech ; Safety through Disruption (Safe-D) University Transportation Center (UTC) Less -
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program
Subject/TRT Terms:

[+]

Algorithms Attention Distracted Driving Distraction Driver Monitoring Eye Location Machine Learning
Series:

UTC Spotlight Newsletter
DOI:

https://doi.org/10.21949/1528812
Resource Type:

Brief
Right Statement:

Public Domain
Corporate Publisher:

United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Abstract:

Researchers at the Virginia Tech Transportation Institute (VTTI) worked on a project sponsored by the Safety Through Disruption (Safe-D) National University Transportation Center (UTC) to improve algorithms that measure a driver’s attention level in real time, leveraging pre-existing data collected during a private (proprietary) study for General Motors (GM). Driver inattention poses a significant problem on today’s roadways, increasing risk for all road users. In 2020, an estimated 3,142 lives were lost due to distracted driving. This is most likely an underrepresentation of the number of lives lost, as distracted driving is only determined through self-reports and accounts from witnesses. Driver monitoring systems (DMS) have the potential to identify when a driver is distracted and refocus their attention back to the forward roadway. However, the potential safety impact of these systems depends on how accurately they can differentiate between distracted and attentive driving.
Format:

PDF
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:9f738ca24dbb703a7ca6231975100abdd2adbfa68ac460521bce0ef8dff45ce0
Download URL:

https://rosap.ntl.bts.gov/view/dot/67735/dot_67735_DS1.pdf
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Improving Methods to Measure Attentiveness through Driver Monitoring

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