Depth rendering for vehicle collision avoidance applications

Stereo vision has been used in many different applications such as robot, entertainment, and electronics for car. Computation of the disparity map requires a large amount of computational resources because of high block-matching computations, especially on the high-resolution image pair. In this paper, we proposed an algorithm for computing the disparity map of a full HD image pair from left and right cameras in order to focus on the front end of collision avoidance which estimates the distance between object and camera on the car. Our system is designed to avoid the collision against object which includes horizontal displacement. Therefore, the target of the front end of system is to find out the position and movement of these objects.