55 Rides: attention annotated head and gaze data during naturalistic driving
Thomas Kübler, Wolfgang Fuhl, Elena Wagner, Enkelejda Kasneci · ACM Symposium on Eye Tracking Research and Applications · 2021
Trained eye patterns are essential for safe driving. Whether for exploration of the surrounding traffic or to make sure that a lane is clear through a shoulder check - quick and effective perception is the key to driving safety. Surprisingly though, free and open access data on gaze behavior during driving are yet extremely sparse. The environment inside a vehicle is challenging for eye-tracking technology due to rapidly changing illumination conditions, such as exiting a tunnel to brightest sunlight, proper calibration and safety. So far, available data exhibits environments that likely influence the viewing behavior, sometimes dramatically (e.g., driving simulators without mirrors, limited field of view).