Solving the stereo matching problem using an embedded GPU for a real-Time application

Pedro Aguiar, Sebastien Varrier, Jorge Lozoya, Martha Lopez, Damien Koenig, Juan C. Tudon-Martinez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationInternational Conference on Advanced Mechatronic Systems, ICAMechS
PublisherIEEE Computer Society
Pages519-524
Number of pages6
ISBN (Electronic)978-153862602-3
ISBN (Print)9781538626023
DOIs
Publication statusPublished - 14 Mar 2018
EventInternational Conference on Advanced Mechatronic Systems, ICAMechS -
Duration: 14 Mar 2018 → …

Publication series

NameInternational Conference on Advanced Mechatronic Systems, ICAMechS
Volume2017-December
ISSN (Print)2325-0682
ISSN (Electronic)2325-0690

Conference

ConferenceInternational Conference on Advanced Mechatronic Systems, ICAMechS
Period14/3/18 → …

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Solving the stereo matching problem using an embedded GPU for a real-Time application'. Together they form a unique fingerprint.

  • Cite this

    Aguiar, P., Varrier, S., Lozoya, J., Lopez, M., Koenig, D., & Tudon-Martinez, J. C. (2018). Solving the stereo matching problem using an embedded GPU for a real-Time application. In International Conference on Advanced Mechatronic Systems, ICAMechS (pp. 519-524). (International Conference on Advanced Mechatronic Systems, ICAMechS; Vol. 2017-December). IEEE Computer Society. https://doi.org/10.1109/ICAMechS.2017.8316471