%0 Conference Proceedings
%T GPU-accelerated real-time stixel computation
%A Daniel Hernandez
%A Antonio Espinosa
%A David Vazquez
%A Antonio Lopez
%A Juan Carlos Moure
%B IEEE Winter Conference on Applications of Computer Vision
%D 2017
%F Daniel Hernandez2017
%O ADAS; 600.118
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2812), last updated on Tue, 01 Sep 2020 11:48:54 +0200
%X 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.
%K Autonomous Driving
%K GPU
%K Stixel
%U https://ieeexplore.ieee.org/document/7926705
%U http://refbase.cvc.uab.es/files/HEV2016.pdf
%U http://dx.doi.org/10.1109/WACV.2017.122
%P 1054-1062