dc.contributor.author |
Kemp, Lana
|
|
dc.contributor.author |
Roux, Michael P
|
|
dc.contributor.author |
Kemp, Mauritz J
|
|
dc.contributor.author |
Kock, R
|
|
dc.date.accessioned |
2021-10-07T07:29:35Z |
|
dc.date.available |
2021-10-07T07:29:35Z |
|
dc.date.issued |
2021-07 |
|
dc.identifier.citation |
Kemp, L., Roux, M.P., Kemp, M.J. & Kock, R. 2021. Application of drones and image processing for bridge inspections in South Africa. http://hdl.handle.net/10204/12124 . |
en_ZA |
dc.identifier.uri |
http://hdl.handle.net/10204/12124
|
|
dc.description.abstract |
In South Africa, visual inspections for all bridge structures are required every five years. A need was identified to establish if it would be practical to utilise technologies, such as drones and photogrammetry, to improve inspections and to reduce the cost of inspections. Drone and photogrammetry technologies are large components in the Fourth Industrial Revolution (4IR). For proof of concept, two bridges were inspected us-ing a drone. The drone inspection data captured for the two bridges was processed and point cloud models were created. These point cloud models were then used to estab-lish whether defects, identified on these bridges previously by way of regular TMH 19 visual assessments, could be identified from the point cloud models. The outcome of the study showed that it would be possible to use processed images from drone in-spections or other image capturing methods to inspect bridges and for monitoring pur-poses. The use of these technologies could improve the inspection methodology, not only of individual structures, but also of a network of structures as required by road au-thorities. Recommendations are made for future work. |
en_US |
dc.format |
Fulltext |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
satc.org.za/assets/satc_final-announcement-brochure-and-programme-2021_updated14june.pdf |
en_US |
dc.source |
The 39th Annual Southern African Transport Conference, South Africa, 5-7 July 2021 |
en_US |
dc.subject |
Bridge inspections |
en_US |
dc.subject |
Drones |
en_US |
dc.subject |
Image processing |
en_US |
dc.title |
Application of drones and image processing for bridge inspections in South Africa |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.description.pages |
14 |
en_US |
dc.description.note |
Paper presented at the 39th Annual Southern African Transport Conference, South Africa, 5-7 July 2021 |
en_US |
dc.description.cluster |
Smart Mobility |
en_US |
dc.description.impactarea |
Trans Network Asset Man Sys |
en_US |
dc.identifier.apacitation |
Kemp, L., Roux, M. P., Kemp, M. J., & Kock, R. (2021). Application of drones and image processing for bridge inspections in South Africa. http://hdl.handle.net/10204/12124 |
en_ZA |
dc.identifier.chicagocitation |
Kemp, Lana, Michael P Roux, Mauritz J Kemp, and R Kock. "Application of drones and image processing for bridge inspections in South Africa." <i>The 39th Annual Southern African Transport Conference, South Africa, 5-7 July 2021</i> (2021): http://hdl.handle.net/10204/12124 |
en_ZA |
dc.identifier.vancouvercitation |
Kemp L, Roux MP, Kemp MJ, Kock R, Application of drones and image processing for bridge inspections in South Africa; 2021. http://hdl.handle.net/10204/12124 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Kemp, Lana
AU - Roux, Michael P
AU - Kemp, Mauritz J
AU - Kock, R
AB - In South Africa, visual inspections for all bridge structures are required every five years. A need was identified to establish if it would be practical to utilise technologies, such as drones and photogrammetry, to improve inspections and to reduce the cost of inspections. Drone and photogrammetry technologies are large components in the Fourth Industrial Revolution (4IR). For proof of concept, two bridges were inspected us-ing a drone. The drone inspection data captured for the two bridges was processed and point cloud models were created. These point cloud models were then used to estab-lish whether defects, identified on these bridges previously by way of regular TMH 19 visual assessments, could be identified from the point cloud models. The outcome of the study showed that it would be possible to use processed images from drone in-spections or other image capturing methods to inspect bridges and for monitoring pur-poses. The use of these technologies could improve the inspection methodology, not only of individual structures, but also of a network of structures as required by road au-thorities. Recommendations are made for future work.
DA - 2021-07
DB - ResearchSpace
DP - CSIR
J1 - The 39th Annual Southern African Transport Conference, South Africa, 5-7 July 2021
KW - Bridge inspections
KW - Drones
KW - Image processing
LK - https://researchspace.csir.co.za
PY - 2021
T1 - Application of drones and image processing for bridge inspections in South Africa
TI - Application of drones and image processing for bridge inspections in South Africa
UR - http://hdl.handle.net/10204/12124
ER -
|
en_ZA |
dc.identifier.worklist |
24981 |
en_US |