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Cited by

• 2020Detecting Human Driver Inattentive and Aggressive Driving Behavior Using Deep Learning: Recent Advances, Requirements and Open Challenges137 cited
• 2016Driver Distraction Using Visual-Based Sensors and Algorithms136 cited
• 2016Were they in the loop during automated driving? Links between visual attention and crash potential97 cited
• 2005Regulating conversation during driving: a problem for mobile telephones?95 cited
• 2011Emotionally involving telephone conversations lead to driver error and visual tunnelling88 cited
• 2005Mobile phones and driving: a review of contemporary research78 cited
• 2017What's in a Name75 cited
• 2005Driver cognitive workload estimation: a data-driven perspective69 cited
• 2015Detecting Drivers' Mirror-Checking Actions and Its Application to Maneuver and Secondary Task Recognition69 cited
• 2017Driver Modeling for Detection and Assessment of Driver Distraction: Examples from the UTDrive Test Bed64 cited
• 2019Driver Inattention Detection in the Context of Next-Generation Autonomous Vehicles Design: A Survey59 cited
• 2007Driving without a Clue56 cited
• 2004Mobile telephone simulator study56 cited
• 2017Does cognitive distraction improve or degrade lane keeping performance? Analysis of time-to-line crossing safety margins