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

doi:10.1109/ICAMechS.2017.8316471

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 proceeding › Conference contribution

1 Citation (Scopus)

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 language	English
Title of host publication	2017 International Conference on Advanced Mechatronic Systems, ICAMechS 2017
Publisher	IEEE Computer Society
Pages	519-524
Number of pages	6
ISBN (Electronic)	978-153862602-3
ISBN (Print)	9781538626023
DOIs	https://doi.org/10.1109/ICAMechS.2017.8316471
Publication status	Published - 2 Jul 2017
Event	International Conference on Advanced Mechatronic Systems, ICAMechS - Duration: 14 Mar 2018 → …

Publication series

Name	International Conference on Advanced Mechatronic Systems, ICAMechS
Volume	2017-December
ISSN (Print)	2325-0682
ISSN (Electronic)	2325-0690

Conference

Conference	International Conference on Advanced Mechatronic Systems, ICAMechS
Period	14/3/18 → …

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

All Science Journal Classification (ASJC) codes

Mechanical Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/ICAMechS.2017.8316471

Cite this

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

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Aguiar, P, Varrier, S, Lozoya, J, Lopez, M, Koenig, D & Tudon-Martinez, JC 2017, Solving the stereo matching problem using an embedded GPU for a real-Time application. in 2017 International Conference on Advanced Mechatronic Systems, ICAMechS 2017. International Conference on Advanced Mechatronic Systems, ICAMechS, vol. 2017-December, IEEE Computer Society, pp. 519-524, International Conference on Advanced Mechatronic Systems, ICAMechS, 14/3/18. https://doi.org/10.1109/ICAMechS.2017.8316471

Solving the stereo matching problem using an embedded GPU for a real-Time application. / Aguiar, Pedro; Varrier, Sebastien; Lozoya, Jorge et al.
2017 International Conference on Advanced Mechatronic Systems, ICAMechS 2017. IEEE Computer Society, 2017. p. 519-524 (International Conference on Advanced Mechatronic Systems, ICAMechS; Vol. 2017-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

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

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