Solving the Stereo Matching Problem Using an Embedded GPU for a Real-time Application

被引：0

作者：

Aguiar, Pedro ^{[1
]}

Varrier, Sebastien ^{[2
]}

Lozoya, Jorge ^{[1
]}

Lopez, Martha ^{[1
]}

Koenig, Damien ^{[2
]}

Tudon-Martinez, Juan C. ^{[1
]}

机构：

[1] Univ Monterrey, San Pedro Garza Garcia 66238, Nuevo Leon, Mexico

[2] ESISAR, Grenoble INP, Lab Concept & Integrat Syst, F-26902 Valence, France

来源：

2017 INTERNATIONAL CONFERENCE ON ADVANCED MECHATRONIC SYSTEMS (ICAMECHS) | 2017年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

General-purpose computing on graphics processing units (GPGPU) is used not only to offload the CPU from heavy computations but also to perform them faster than it is possible on CPUs. This is commonly referred as GPU acceleration and is an exercised area of study in the PC platform that has received very little attention on commodity embedded devices. Just as the PC GPU is being used to perform computations that would be impossible in terms of execution time for its accompanying CPU, the embedded GPU can accelerate computations normally done by the embedded CPU. This work presents an implementation of a factible, real-time, GPU accelerated stereo matching solution using a Broadcom's VideoCore IV GPU (BCM2835 System on a Chip). Details include the delimitation process, design considerations and optimization techniques.

引用

页码：519 / 524

页数：6

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