GPU-accelerated real-time stixel computation
Computer Architecture & Operating Systems Department (CAOS) at Universitat Autonoma de Barcelona
arXiv:1610.04124 [cs.CV], (13 Oct 2016)
@article{hernandez-juarez2016gpuaccelerated,
title={GPU-accelerated real-time stixel computation},
author={Hernandez-Juarez, Daniel and Espinosa, Antonio and Vazquez, David and Lopez, Antonio Manuel and Moure, Juan Carlos},
year={2016},
month={oct},
archivePrefix={"arXiv"},
primaryClass={cs.CV}
}
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, energy-efficient, 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.
October 15, 2016 by hgpu
