Inference of large truck driver´s intent to change lanes to pass a lead vehicle via analyses of driver´s eye glance behavior in the real world

Inference of driver´s intent is a vital issue for developing intelligent driving support systems. In this study, we analyzed two professional truck drivers´ eye glance behavior when they changed lanes in the real world and developed a method to detect the driver´s intent to change lanes. The method was effective detecting the drivers´ intent just before they initiated a lane change maneuver. This method is essentially the same as the method proposed in Zhou et al. (2006). We conclude that Zhou, et al. (2006)´s detection algorithm would be useful for professional drivers in the real world.