Real‐time detection of distracted driving based on deep learning-Reference-Cited by-同舟云学术

Real‐time detection of distracted driving based on deep learning

Published:2018-08-20 Issue:10 Volume:12 Page:1210-1219
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Tran Duy¹,Manh Do Ha¹^ORCID,Sheng Weihua¹,Bai He²,Chowdhary Girish³

Affiliation:

1. School of Electrical and Computer Engineering, Oklahoma State UniversityStillwaterOK74078USA

2. School of Mechanical and Aerospace Engineering, Oklahoma State UniversityStillwaterOK74078USA

3. Department of Agricultural and Biological EngineeringUniversity of Illinois at Urbana‐ChampaignUrbanaIL61801USA

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2018.5172

Reference46 articles.

1. US Department of Transportation – National Highway Traffic Safety Administration: ‘Traffic safety facts’. Available athttps://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812318?‐ga=1.78055380.1104132544.1489526594

2. US Department of Transportation – National Highway Traffic Safety Administration: ‘Distracted driving’. Available at:https://www.nhtsa.gov/riskydriving/distracted‐driving

3. Esurance: ‘3 types of distracted driving’ 2016. Available at:https://www.esurance.com/info/car/3‐types‐of‐distracted‐driving accessed October 2017

4. A decrease in brain activation associated with driving when listening to someone speak

5. AmeenL.: ‘The 25 scariest texting and driving accident statistics’. Available athttp://www.icebike.org/texting‐and‐driving/

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