Stop-line Highlighting to Prevent Overlooking Depending on Danger Level when Driving

Abstract

We propose a system to highlight stop lines depending on a danger level when driving. First, road areas are extracted from a video recorded by a dashcam using semantic segmentation. Second, straight lines in the road areas are detected by a probabilistic Hough transform. Third, the distance from each stop line to the vehicle is estimated by using the inclusion-exclusion integral regression model. Finally, each stop line is highlighted depending on danger level.