GPU-accelerated real-time stixel computation

被引：13

作者：

Hernandez-Juarez, Daniel ^{[1
]}

Espinosa, Antonio ^{[1
]}

Moure, Juan C. ^{[1
]}

Vazquez, David ^{[2
]}

Lopez, Antonio M. ^{[2
]}

机构：

[1] Comp Architecture & Operating Syst Dpt UAB, Birmingham, AL 35294 USA

[2] Comp Vis Ctr & Comp Sci Dpt UAB, Birmingham, AL USA

来源：

2017 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2017) | 2017年

关键词：

D O I：

10.1109/WACV.2017.122

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 x 440 pixels and stixel widths of 5 pixels, and achieves more than 400 frames per second on a high-end Titan X GPU card.

引用

页码：1054 / 1062

页数：9

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