Distance estimation based on disparity analysis for vehicle applications

Abstract

Stereo vision has been used in many different applications such as robot, entertainment, and car electronics. Disparity-based distance estimation requires a large amount of computational resources because of high block-matching computations, especially on the high-resolution image pair. In this paper, we propose an algorithm for computing the distance between our own driving car and the front car for vehicle collision avoidance applications. Our system is designed to focus on the collision avoidance with the front end 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.