Improving Methods to Measure Attentiveness through Driver Monitoring

Simple item page
dc.contributor.authorMiller, Martyen
dc.contributor.authorHerbers, Eileenen
dc.contributor.authorWalters, Jacoben
dc.contributor.authorNeurauter, Lukeen
dc.date.accessioned2022-08-09T20:25:26Zen
dc.date.available2022-08-09T20:25:26Zen
dc.date.issued2022-07en
dc.description.abstractDriver inattention poses a significant problem on today’s roadways, increasing risk for all road users. This report details our efforts in developing algorithms to detect driver inattention. A benchmark dataset was developed based on video review of driving events. Buffer-based algorithms were developed and compared using this benchmark dataset. The benchmark events were also used as a training dataset for machine learning models. Driver glance locations were important for determining driver attentiveness. In addition, vehicle speed was important for understanding the driving context, which was found to have a large impact on driver behavior.en
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/10919/111490en
dc.language.isoenen
dc.publisherSAFE-D: Safety Through Disruption National University Transportation Centeren
dc.relation.ispartofseriesSafe-D;05-091en
dc.rightsCC0 1.0 Universalen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/en
dc.subjectMachine learning algorithmen
dc.subjectDistractionen
dc.subjectInattentionen
dc.subjectAttentivenessen
dc.subjectDriver behavioren
dc.subjectTransportation safetyen
dc.subjectAlgorithmsen
dc.titleImproving Methods to Measure Attentiveness through Driver Monitoringen
dc.typeReporten
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
05-091 Safe-D Final Research Report Improving Methods to Measure Attentiveness through Driver Monitoring 7.7.2022_SUBMITTED.pdf
Size:
1.75 MB
Format:
Adobe Portable Document Format
Description:
Report
Download
License bundle
Now showing 1 - 1 of 1
Name:
license.txt
Size:
1.5 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Safety through Disruption (SAFE-D) University Transportation Center (UTC)