Automatic system for detecting driver use of mobile phones

Author:

Rodríguez-Ascariz José Manuel,Boquete Luciano,Cantos Joaquín,Ortega Sergio

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference27 articles.

1. Analytical models for low-power rectenna design;Akkermans;IEEE Antennas and Wireless Propagation Letters,2005

2. An experimental study on the effect of mobile phone conversation on drivers’ reaction time in braking response;Al-Darrab;Journal of Safety Research,2009

3. The effect of mobile phone use on driving style and driving skills;Bener;International Journal of Crashworthiness,2006

4. A meta-analysis of the effects of cell phones on driver performance;Caird;Accident Analysis & Prevention,2008

5. Driving while conversing: cell phones that distract and passengers who react;Charlton;Accident Analysis & Prevention,2009

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1. 基于机器视觉的石化场景人员危险行为识别;Laser & Optoelectronics Progress;2021

2. Driver Cell-phone Use Detection Based on CornerNet-Lite Network;IOP Conference Series: Earth and Environmental Science;2021-01-01

3. Driver Distraction Behavior Detection Method Based on Deep Learning;IOP Conference Series: Materials Science and Engineering;2020-03-01

4. A Deep-Learning-Based Scheme for Detecting Driver Cell-Phone Use;IEEE Access;2020

5. Effect of driver distraction contributing factors on accident causations – A review;PROCEEDINGS OF THE INTERNATIONAL ENGINEERING RESEARCH CONFERENCE - 12TH EURECA 2019;2019

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