Distance Estimation Models Between Vehicle and Stop Lines Using Inclusion-Exclusion Integral

Abstract

In recent years, the percentage of traffic accidents involving elderly drivers has been increasing, and it is becoming a social problem. To prevent the traffic accidents, it is important for elderly drivers to improve own driving by reviewing it. We have been developing a system that allows to review driving situations at home, in order to improve driving behavior. In this paper, we propose models for estimating the distance between a vehicle and stop lines by using the inclusion-exclusion integral regression model from dashboard camera for the system. First, we extract an image where the markers are placed with known distance to the car in order to build a model. Second, we build six models by varying t-norm of the inclusion-exclusion integral regression model. Then, we compare estimated distances with each obtained model.