%0 Conference Proceedings
%T Real-time 3D Reconstruction for Autonomous Driving via Semi-Global Matching
%A Daniel Hernandez
%A Juan Carlos Moure
%A Toni Espinosa
%A Alejandro Chacon
%A David Vazquez
%A Antonio Lopez
%B GPU Technology Conference
%D 2016
%F Daniel Hernandez2016
%O ADAS; 600.085; 600.082; 600.076
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2738), last updated on Sun, 19 Mar 2017 10:30:45 +0100
%X 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
%K Stereo
%K Autonomous Driving
%K GPU
%K 3d reconstruction
%U http://refbase.cvc.uab.es/files/HME2016.pdf