@TechReport{DanielHernandez2016,
author="Daniel Hernandez
and Alejandro Chacon
and Antonio Espinosa
and David Vazquez
and Juan Carlos Moure
and Antonio Lopez
and {PUMPS}",
title="Stereo Matching using SGM on the GPU",
year="2016",
optkeywords="CUDA",
optkeywords="Stereo",
optkeywords="Autonomous Vehicle",
abstract="Dense, robust and real-time computation of depth information from stereo-camera systems is a computationally demanding requirement for robotics, advanced driver assistance systems (ADAS) and autonomous vehicles. Semi-Global Matching (SGM) is a widely used algorithm that propagates consistency constraints along several paths across the image. This work presents a real-time system producing reliable disparity estimation results on the new embedded energy efficient GPU devices. Our design runs on a Tegra X1 at 42 frames per second (fps) for an image size of 640x480, 128 disparity levels, and using 4 path directions for the SGM method.",
optnote="ADAS; 600.085; 600.087; 600.076",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2776), last updated on Wed, 16 Nov 2016 10:40:31 +0100",
file=":http://refbase.cvc.uab.es/files/HCE2016b.pdf:PDF"
}