Detection of Dangerous Vehicles from Rear Scene

Abstract

An assistance of safe driving is one of the most remarkable field in ITS. In this paper, a system for detecting dangerous vehicles from rear scene using image processing is proposed. The system is very useful for avoiding collisions which occur when changing lanes, or warning following drivers of the sudden collision possibility. The system is comprised of three image processing parts; the Lane Detection, the Vehicle Detection, the Vehicle Observation. Especially, in the Vehicle Detection, a new method for detecting only front faces of following vehicles without their sides is proposed. It is achieved because boundary lines between the vehicle front and the side are detected stably by Area Over-Division and Area Integrate. The detection of boundary lines is treated as the detection of dividing lines which divide into two areas. In the system, the problem of detecting vehicles is divided into many simple steps, and in comparison to conventional researches that try to search correct things, incorrect things are searched and only those are removed on each step. Therefore, only correct front faces remain after many steps. This system has already been experimented as a real time system in-vehicle.