dc.contributor.author |
Joubert, D
|
|
dc.contributor.author |
Tyatyantsi, A
|
|
dc.contributor.author |
Mphahlehle, J
|
|
dc.contributor.author |
Manchidi, V
|
|
dc.date.accessioned |
2011-12-12T12:14:01Z |
|
dc.date.available |
2011-12-12T12:14:01Z |
|
dc.date.issued |
2011-11 |
|
dc.identifier.citation |
Joubert, D, Tyatyantsi, A et al. 2011. Pothole tagging system. 4th Robotics and Mechatronics Conference of South Africa (RobMech 2011), CSIR International Conference Centre, Pretoria, 23-25 November 2011 |
en_US |
dc.identifier.uri |
http://hdl.handle.net/10204/5384
|
|
dc.description |
4th Robotics and Mechatronics Conference of South Africa (RobMech 2011), CSIR International Conference Centre, Pretoria, 23-25 November 2011 |
en_US |
dc.description.abstract |
Potholes are not only a source of frustration to drivers but also negatively impact the economy due to damage to vehicles and costly road repairs. Regular and rapid pavement inspection and maintenance is key to preventing pothole formation and growth. To improve the efficiency of maintenance and reduce the cost thereof, a vehicle mounted sensor system is being developed that will automatically detect and analyse potholes. The results will then be packaged together with the Global Positioning System (GPS) coordinates of the pothole for use by technical experts and maintenance schedulers. The system will utilise a Microsoft Kinect and a high-speed USB camera as sensing devices. |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.ispartofseries |
Workflow request;7634 |
|
dc.subject |
Potholes |
en_US |
dc.subject |
Sensor systems |
en_US |
dc.subject |
Computer vision |
en_US |
dc.subject |
Image processing |
en_US |
dc.subject |
Pothole tagging system |
en_US |
dc.subject |
Robotics |
en_US |
dc.subject |
Mechatronics |
en_US |
dc.subject |
RobMech 2011 |
en_US |
dc.title |
Pothole tagging system |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Joubert, D., Tyatyantsi, A., Mphahlehle, J., & Manchidi, V. (2011). Pothole tagging system. http://hdl.handle.net/10204/5384 |
en_ZA |
dc.identifier.chicagocitation |
Joubert, D, A Tyatyantsi, J Mphahlehle, and V Manchidi. "Pothole tagging system." (2011): http://hdl.handle.net/10204/5384 |
en_ZA |
dc.identifier.vancouvercitation |
Joubert D, Tyatyantsi A, Mphahlehle J, Manchidi V, Pothole tagging system; 2011. http://hdl.handle.net/10204/5384 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Joubert, D
AU - Tyatyantsi, A
AU - Mphahlehle, J
AU - Manchidi, V
AB - Potholes are not only a source of frustration to drivers but also negatively impact the economy due to damage to vehicles and costly road repairs. Regular and rapid pavement inspection and maintenance is key to preventing pothole formation and growth. To improve the efficiency of maintenance and reduce the cost thereof, a vehicle mounted sensor system is being developed that will automatically detect and analyse potholes. The results will then be packaged together with the Global Positioning System (GPS) coordinates of the pothole for use by technical experts and maintenance schedulers. The system will utilise a Microsoft Kinect and a high-speed USB camera as sensing devices.
DA - 2011-11
DB - ResearchSpace
DP - CSIR
KW - Potholes
KW - Sensor systems
KW - Computer vision
KW - Image processing
KW - Pothole tagging system
KW - Robotics
KW - Mechatronics
KW - RobMech 2011
LK - https://researchspace.csir.co.za
PY - 2011
T1 - Pothole tagging system
TI - Pothole tagging system
UR - http://hdl.handle.net/10204/5384
ER -
|
en_ZA |