Detection of 3D perceptual changes in robot navigation using cloud computing

N. Ejaz; I. Mehmood; J.J. Lee; S.M. Ji; M.H. Lee; S.M. Anh; S.W. Baik

doi:10.1109/ICCCSN.2012.6215759

Detection of 3D perceptual changes in robot navigation using cloud computing

N. Ejaz
, I. Mehmood
, J.J. Lee
, S.M. Ji
, M.H. Lee
, S.M. Anh
, S.W. Baik

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

3 Citations (Scopus)

Abstract

This paper presents the implementation of 3D perceptual parameter estimation in robot texture images using multi-core Graphic Processing Units (GPUs) connected into a cloud computing environment. The paper discusses the architecture of the system and its benefits in providing real time estimation of parameter estimation to get an approximation of the change in position of robot from a certain position for application of robot navigation. The implementation of this scheme on conventional computing resources is much time consuming and resource intensive. The advances in cloud computing provide cost effective solution for this task of 3D change estimation.

Original language	English
Title of host publication	Proceedings - International Conference on Cloud Computing and Social Networking 2012: Cloud Computing and Social Networking for Smart and Productive Society, ICCCSN 2012
Publisher	IEEE
ISBN (Electronic)	978-1-4673-1816-7
ISBN (Print)	978-1-4673-1815-0
DOIs	https://doi.org/10.1109/ICCCSN.2012.6215759
Publication status	Published online - 14 Jun 2012

Access to Document

10.1109/ICCCSN.2012.6215759

Cite this

Ejaz, N., Mehmood, I., Lee, J. J., Ji, S. M., Lee, M. H., Anh, S. M., & Baik, S. W. (2012). Detection of 3D perceptual changes in robot navigation using cloud computing. In Proceedings - International Conference on Cloud Computing and Social Networking 2012: Cloud Computing and Social Networking for Smart and Productive Society, ICCCSN 2012 IEEE. Advance online publication. https://doi.org/10.1109/ICCCSN.2012.6215759

@inproceedings{62a40ed24b7f439c9c4eb6fe22f27c81,

title = "Detection of 3D perceptual changes in robot navigation using cloud computing",

abstract = "This paper presents the implementation of 3D perceptual parameter estimation in robot texture images using multi-core Graphic Processing Units (GPUs) connected into a cloud computing environment. The paper discusses the architecture of the system and its benefits in providing real time estimation of parameter estimation to get an approximation of the change in position of robot from a certain position for application of robot navigation. The implementation of this scheme on conventional computing resources is much time consuming and resource intensive. The advances in cloud computing provide cost effective solution for this task of 3D change estimation.",

author = "N. Ejaz and I. Mehmood and J.J. Lee and S.M. Ji and M.H. Lee and S.M. Anh and S.W. Baik",

year = "2012",

month = jun,

day = "14",

doi = "10.1109/ICCCSN.2012.6215759",

language = "English",

isbn = "978-1-4673-1815-0",

booktitle = "Proceedings - International Conference on Cloud Computing and Social Networking 2012: Cloud Computing and Social Networking for Smart and Productive Society, ICCCSN 2012",

publisher = "IEEE",

address = "United States",

}

Ejaz, N, Mehmood, I, Lee, JJ, Ji, SM, Lee, MH, Anh, SM & Baik, SW 2012, Detection of 3D perceptual changes in robot navigation using cloud computing. in Proceedings - International Conference on Cloud Computing and Social Networking 2012: Cloud Computing and Social Networking for Smart and Productive Society, ICCCSN 2012. IEEE. https://doi.org/10.1109/ICCCSN.2012.6215759

Detection of 3D perceptual changes in robot navigation using cloud computing. / Ejaz, N.; Mehmood, I.; Lee, J.J. et al.
Proceedings - International Conference on Cloud Computing and Social Networking 2012: Cloud Computing and Social Networking for Smart and Productive Society, ICCCSN 2012. IEEE, 2012.

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

TY - GEN

T1 - Detection of 3D perceptual changes in robot navigation using cloud computing

AU - Ejaz, N.

AU - Mehmood, I.

AU - Lee, J.J.

AU - Ji, S.M.

AU - Lee, M.H.

AU - Anh, S.M.

AU - Baik, S.W.

PY - 2012/6/14

Y1 - 2012/6/14

N2 - This paper presents the implementation of 3D perceptual parameter estimation in robot texture images using multi-core Graphic Processing Units (GPUs) connected into a cloud computing environment. The paper discusses the architecture of the system and its benefits in providing real time estimation of parameter estimation to get an approximation of the change in position of robot from a certain position for application of robot navigation. The implementation of this scheme on conventional computing resources is much time consuming and resource intensive. The advances in cloud computing provide cost effective solution for this task of 3D change estimation.

AB - This paper presents the implementation of 3D perceptual parameter estimation in robot texture images using multi-core Graphic Processing Units (GPUs) connected into a cloud computing environment. The paper discusses the architecture of the system and its benefits in providing real time estimation of parameter estimation to get an approximation of the change in position of robot from a certain position for application of robot navigation. The implementation of this scheme on conventional computing resources is much time consuming and resource intensive. The advances in cloud computing provide cost effective solution for this task of 3D change estimation.

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-84863956363&partnerID=MN8TOARS

U2 - 10.1109/ICCCSN.2012.6215759

DO - 10.1109/ICCCSN.2012.6215759

M3 - Conference contribution

SN - 978-1-4673-1815-0

BT - Proceedings - International Conference on Cloud Computing and Social Networking 2012: Cloud Computing and Social Networking for Smart and Productive Society, ICCCSN 2012

PB - IEEE

ER -

Detection of 3D perceptual changes in robot navigation using cloud computing

Abstract

Access to Document

Other files and links

Fingerprint

Cite this