Boundary Detection of Point Clouds on the Images of Low-Resolution Cameras for the Autonomous Car Problem

Abstract

In this article, we present a procedure that uses low-resolution cameras to define the boundaries of point clouds quickly. Using the same procedure, we get almost identical results to high- resolution images. The emphasis is not so much on the method presented, but on the fact that applying this method on images of low-resolution cameras will made the process being much quicker. This result is remarkable because the segmentation and clustering methods, when applied to big sized and high-resolution images, are sometimes overwhelmingly slow. If you use low-resolution images in order to detect boundaries of larger objects then the process accelerates remarkably. This approach, which is described here, attempts to provide a possible solution to recognize the desired objects.