@InProceedings{DanielHernandez2016,
author="Daniel Hernandez
and Juan Carlos Moure
and Toni Espinosa
and Alejandro Chacon
and David Vazquez
and Antonio Lopez",
title="Real-time 3D Reconstruction for Autonomous Driving via Semi-Global Matching",
booktitle="GPU Technology Conference",
year="2016",
optkeywords="Stereo",
optkeywords="Autonomous Driving",
optkeywords="GPU",
optkeywords="3d reconstruction",
abstract="Robust and dense computation of depth information from stereo-camera systems is a computationally demanding requirement for real-time autonomous driving. Semi-Global Matching (SGM) [1] approximates heavy-computation global algorithms results but with lower computational complexity, therefore it is a good candidate for a real-time implementation. SGM minimizes energy along several 1D paths across the image. The aim of this work is to provide a real-time system producing reliable results on energy-efficient hardware. Our design runs on a NVIDIA Titan X GPU at 104.62 FPS and on a NVIDIA Drive PX at 6.7 FPS, promising for real-time platforms",
optnote="ADAS; 600.085; 600.082; 600.076",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2738), last updated on Sun, 19 Mar 2017 10:30:45 +0100",
file=":http://refbase.cvc.uab.es/files/HME2016.pdf:PDF"
}