Driver monitoring system has gained lot of popularity in automotive sector to ensure safety while driving.Collisions due to driver inattentiveness or driver fatigue or over reliance on autonomous driving featuresarethe major reasons for road accidents and fatalities. Driver monitoring systems aims to monitor variousaspect of driving and provides appropriate warnings whenever required. Eye gaze estimation is a keyelement in almost all of the driver monitoring systems. Gaze estimation aims to find the point of gaze whichis basically,” -where is driver looking”. This helps in understanding if the driver is attentively looking atthe road or if he is distracted. Estimating gaze point also plays important role in many other applicationslike retail shopping, online marketing, psychological tests, healthcare etc. This paper covers the variousaspects of eye gaze estimation for a driver monitoring system including sensor choice and sensorplacement. There are multiple ways by which eye gaze estimation can be done. A detailed comparativestudy on two of the popular methods for gaze estimation using eye features is covered in this paper. Aninfra-red camera is used to capture data for this study. Method 1 tracks corneal reflection centre w.r.t thepupil centre and method 2 tracks the pupil centre w.r.t the eye centre to estimate gaze. There areadvantages and disadvantages with both the methods which has been looked into. This paper can act as areference for researchers working in the same field to understand possibilities and limitations of eye gazeestimation for driver monitoring system.
展开▼
