Comparison of Two Eye-Gaze Based Real-Time Driver Distraction Detection Algorithms in a Small-Scale Field Operational Test

Driver distraction is a field which has received increasing attention in the last years, especially after it became evident that distraction is a major factor contributing to road casualties. Monitoring, detecting and limiting driver distraction could contribute significantly to improve road traffic safety. With the introduction of novel unobtrusive gaze-tracking systems real-time algorithms based on the driver’s gaze direction can be developed for driver distraction warning systems. The study describes and compares two different algorithms for gaze-based driver distraction detection based on the eye tracking data obtained in a field study. One algorithm relies on the metric “percent road centre” of gaze direction, the other on gaze zones in the vehicle. Results show that both algorithms have potential for detecting driver distraction, but that no effect of the distraction warnings on attention as defined by the algorithms could be observed.

[1]  Dot Hs,et al.  The 100-Car Naturalistic Driving Study Phase II - Results of the 100-Car Field Experiment , 2006 .

[2]  Lisbeth Almén.  REDUCING THE EFFECTS OF DRIVER DISTRACTION: A COMPARISON OF DISTRACTION ALERTS ON DRIVER ATTENTION , 2003 .

[3]  Thomas A. Dingus,et al.  The 100-Car Naturalistic Driving Study Phase II – Results of the 100-Car Field Experiment , 2006 .

[4]  Albert Kircher,et al.  Considerations when calculating percent road centre from eye movement data in driver distraction monitoring , 2017 .

[5]  Linda Ng Boyle,et al.  Safety implications of providing real-time feedback to distracted drivers. , 2007, Accident; analysis and prevention.

[6]  Annie Rydström,et al.  The effect of haptic feedback in visual-manual human-machine interaction , 2007 .

[7]  Thomas A. Dingus,et al.  The Impact of Driver Inattention on Near-Crash/Crash Risk: An Analysis Using the 100-Car Naturalistic Driving Study Data , 2006 .

[8]  T. Victor.  Keeping Eye and Mind on the Road , 2005 .

[9]  Johan Engström,et al.  Sensitivity of eye-movement measures to in-vehicle task difficulty , 2005 .

[10]  Albert Kircher,et al.  Results of a field study on a driver distraction warning system , 2009 .

[11]  Johan Engström,et al.  Effects of visual and cognitive load in real and simulated motorway driving , 2005 .

[12]  M. A. Recarte,et al.  Effects of verbal and spatial-imagery tasks on eye fixations while driving. , 2000, Journal of experimental psychology. Applied.

[13]  Mustapha Mouloua,et al.  On the Philosophical Foundations of the Distracted Driver and Driving Distraction , 2009 .

[14]  Rikard Karlsson,et al.  Evaluating driver distraction countermeasures , 2005 .