GPU-Accelerated Real-Time Stixel Computation
Abstract
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 multistixel estimation pipeline on an embedded, energy-efficient, GPU-accelerated device. This work presents a full GPUaccelerated 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.
Cite
Text
Juárez et al. "GPU-Accelerated Real-Time Stixel Computation." IEEE/CVF Winter Conference on Applications of Computer Vision, 2017. doi:10.1109/WACV.2017.122Markdown
[Juárez et al. "GPU-Accelerated Real-Time Stixel Computation." IEEE/CVF Winter Conference on Applications of Computer Vision, 2017.](https://mlanthology.org/wacv/2017/juarez2017wacv-gpu/) doi:10.1109/WACV.2017.122BibTeX
@inproceedings{juarez2017wacv-gpu,
title = {{GPU-Accelerated Real-Time Stixel Computation}},
author = {Juárez, Daniel Hernández and Espinosa, Antonio and Moure, Juan C. and Vázquez, David and Peña, Antonio Manuel López},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
year = {2017},
pages = {1054-1062},
doi = {10.1109/WACV.2017.122},
url = {https://mlanthology.org/wacv/2017/juarez2017wacv-gpu/}
}