TY  - CONF
AU  - Daniel Hernandez
AU  - Antonio Espinosa
AU  - David Vazquez
AU  - Antonio Lopez
AU  - Juan Carlos Moure
A2  - WACV
PY  - 2017//
TI  - GPU-accelerated real-time stixel computation
BT  - IEEE Winter Conference on Applications of Computer Vision
SP  - 1054
EP  - 1062
KW  - Autonomous Driving
KW  - GPU
KW  - Stixel
N2  - The Stixel World is a medium-level, compact representation of road scenes that abstracts millions of disparity pixels into hundreds or thousands of stixels. The goal of this work is to implement and evaluate a complete multi-stixel estimation pipeline on an embedded, energyefficient, GPU-accelerated device. This work presents a full GPU-accelerated implementation of stixel estimation that produces reliable results at 26 frames per second (real-time) on the Tegra X1 for disparity images of 1024×440 pixels and stixel widths of 5 pixels, and achieves more than 400 frames per second on a high-end Titan X GPU card.
UR  - https://ieeexplore.ieee.org/document/7926705
L1  - http://refbase.cvc.uab.es/files/HEV2016.pdf
UR  - http://dx.doi.org/10.1109/WACV.2017.122
N1  - ADAS; 600.118
ID  - Daniel Hernandez2017
ER  -