dc.contributor.author |
Naidoo, Thegaran
|
|
dc.contributor.author |
Verster, Jacobus J
|
|
dc.contributor.author |
Marais, Stephen T
|
|
dc.date.accessioned |
2023-01-27T06:45:14Z |
|
dc.date.available |
2023-01-27T06:45:14Z |
|
dc.date.issued |
2022-11 |
|
dc.identifier.citation |
Naidoo, T., Verster, J.J. & Marais, S.T. 2022. A cloud-based road infrastructure analysis system using machine learning. http://hdl.handle.net/10204/12590 . |
en_ZA |
dc.identifier.uri |
http://hdl.handle.net/10204/12590
|
|
dc.description.abstract |
A cloud-based road infrastructure analysis system was developed to assist as an information management system for detecting and managing information about road defects and road assets. The system uses computer vision and machine learning algorithms and is accessed through a web interface. The detection results are viewed through an online, account-based web interface. |
en_US |
dc.format |
Fulltext |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
DOI: https://doi.org/10.1051/matecconf/202237007010 |
en_US |
dc.relation.uri |
https://www.matec-conferences.org/articles/matecconf/abs/2022/17/contents/contents.html |
en_US |
dc.source |
23rd Annual International RAPDASA Conference joined by RobMech, PRASA and CoSAAMI, Somerset-West, Cape Town, 9-11 November 2022 |
en_US |
dc.subject |
Machine learning |
en_US |
dc.subject |
Road Infrastructure Analysis |
en_US |
dc.title |
A cloud-based road infrastructure analysis system using machine learning |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.description.pages |
10 |
en_US |
dc.description.note |
Paper presented at the 23rd Annual International RAPDASA Conference joined by RobMech, PRASA and CoSAAMI, Somerset-West, Cape Town, 9-11 November 2022 |
en_US |
dc.description.cluster |
Manufacturing |
en_US |
dc.description.impactarea |
Future Production Systems |
en_US |
dc.description.impactarea |
Industrial AI |
en_US |
dc.identifier.apacitation |
Naidoo, T., Verster, J. J., & Marais, S. T. (2022). A cloud-based road infrastructure analysis system using machine learning. http://hdl.handle.net/10204/12590 |
en_ZA |
dc.identifier.chicagocitation |
Naidoo, Thegaran, Jacobus J Verster, and Stephen T Marais. "A cloud-based road infrastructure analysis system using machine learning." <i>23rd Annual International RAPDASA Conference joined by RobMech, PRASA and CoSAAMI, Somerset-West, Cape Town, 9-11 November 2022</i> (2022): http://hdl.handle.net/10204/12590 |
en_ZA |
dc.identifier.vancouvercitation |
Naidoo T, Verster JJ, Marais ST, A cloud-based road infrastructure analysis system using machine learning; 2022. http://hdl.handle.net/10204/12590 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Naidoo, Thegaran
AU - Verster, Jacobus J
AU - Marais, Stephen T
AB - A cloud-based road infrastructure analysis system was developed to assist as an information management system for detecting and managing information about road defects and road assets. The system uses computer vision and machine learning algorithms and is accessed through a web interface. The detection results are viewed through an online, account-based web interface.
DA - 2022-11
DB - ResearchSpace
DP - CSIR
J1 - 23rd Annual International RAPDASA Conference joined by RobMech, PRASA and CoSAAMI, Somerset-West, Cape Town, 9-11 November 2022
KW - Machine learning
KW - Road Infrastructure Analysis
LK - https://researchspace.csir.co.za
PY - 2022
T1 - A cloud-based road infrastructure analysis system using machine learning
TI - A cloud-based road infrastructure analysis system using machine learning
UR - http://hdl.handle.net/10204/12590
ER -
|
en_ZA |
dc.identifier.worklist |
26343 |
en_US |