A vision-based vehicle behavior monitoring and warning system

Abstract

This paper outlines the approach to restrain the transportation (or car) accidents caused by dangerous vehicle behaviors, especially those of lane departure and speeding. Based on the proposed approach, the possibility of car collision is reduced by an equipped in-vehicle vision-based system that monitors the sight in front of the car and issues certain necessary warning. Meanwhile, the infrastructure of monitoring and warning system as well as related image processing techniques is proposed. Furthermore, an application for decision model to launch warning is also discussed herein. Finally, the proposed approach is validated in real road tests.