TY  - RPRT
AU  - Daniel Hernandez
AU  - Alejandro Chacon
AU  - Antonio Espinosa
AU  - David Vazquez
AU  - Juan Carlos Moure
AU  - Antonio Lopez
AU  - PUMPS
PY  - 2016//
TI  - Stereo Matching using SGM on the GPU
KW  - CUDA
KW  - Stereo
KW  - Autonomous Vehicle
N2  - 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.
L1  - http://refbase.cvc.uab.es/files/HCE2016b.pdf
N1  - ADAS; 600.085; 600.087; 600.076
ID  - Daniel Hernandez2016
ER  -