Improving Methods to Measure Attentiveness through Driver Monitoring

Miller, Marty; Herbers, Eileen; Walters, Jacob; Neurauter, Luke

i

Improving Methods to Measure Attentiveness through Driver Monitoring

2022-07-01
By Miller, Marty ; Herbers, Eileen ; Walters, Jacob

File Language:

English

Details

Creators:

Miller, Marty ; Herbers, Eileen ; Walters, Jacob ; Neurauter, Luke
Corporate Creators:

Safety through Disruption (Safe-D) University Transportation Center (UTC) ; Virginia Polytechnic Institute and State University ; Virginia Tech Transportation Institute
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Publication/ Report Number:

05-091
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final research
Corporate Publisher:

Safety through Disruption (Safe-D) University Transportation Center (UTC)
Abstract:

Driver 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.
Format:

PDF
Funding:

69A3551747115/05-091
Download URL:

https://rosap.ntl.bts.gov/view/dot/64151/dot_64151_DS1.pdf
File Type:

[PDF - 1.77 MB]
Collection(s):

Artificial Intelligence Deployment Center of Excellence (AI COE) ; University Transportation Centers
Main Document Checksum:

urn:sha-512:1f629719d93b08b2bd3a1f8c1629b1f4e8f3d6b2a89217971ba1ff17d5b490473388fe57c5f892027ec7fc6d3741927885c55c809a705168e04d993fd24966ac

Improving Methods to Measure Attentiveness through Driver Monitoring [Supporting Dataset]

Dataset

Driver inattention poses a significant problem on today's roadways, increasing risk for all road users. This report details our efforts in developing ...

Miller, Marty

;

Herbers, Eileen

File Language:

English

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