Abstract
Crack sealing is a routine and necessary operation of pavement maintenance. Manual observation of road surfaces has been the most common method for evaluating road surface cracks around the world. However it is difficult to objectively and accurately assess the road cracks based on human visual perception. The ultimate objective of this study is to evaluate crack sealing performance on highways, in order to choose the best crack sealing practice in an automated manner. As a preliminary step, this paper discusses how to define crack sealing performance and propose a research methodology to quantify the level of road surface distress using video image processing.
| Original language | English |
|---|---|
| Title of host publication | 2006 Proceedings of the 23rd International Symposium on Robotics and Automation in Construction, ISARC 2006 |
| Pages | 341-345 |
| Number of pages | 5 |
| Publication status | Published - 2006 Dec 1 |
| Event | 23rd International Symposium on Robotics and Automation in Construction, ISARC 2006 - Tokyo, Japan Duration: 2006 Oct 3 → 2006 Oct 5 |
Publication series
| Name | 2006 Proceedings of the 23rd International Symposium on Robotics and Automation in Construction, ISARC 2006 |
|---|
Other
| Other | 23rd International Symposium on Robotics and Automation in Construction, ISARC 2006 |
|---|---|
| Country | Japan |
| City | Tokyo |
| Period | 06/10/3 → 06/10/5 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Human-Computer Interaction
- Building and Construction
Cite this
}
Evaluation of asphalt pavement crack sealing performance using image processing technique. / Kim, Hyoungkwan; Soleymani, Hamid; Han, Seung Heon; Nam, Hana.
2006 Proceedings of the 23rd International Symposium on Robotics and Automation in Construction, ISARC 2006. 2006. p. 341-345 (2006 Proceedings of the 23rd International Symposium on Robotics and Automation in Construction, ISARC 2006).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Evaluation of asphalt pavement crack sealing performance using image processing technique
AU - Kim, Hyoungkwan
AU - Soleymani, Hamid
AU - Han, Seung Heon
AU - Nam, Hana
PY - 2006/12/1
Y1 - 2006/12/1
N2 - Crack sealing is a routine and necessary operation of pavement maintenance. Manual observation of road surfaces has been the most common method for evaluating road surface cracks around the world. However it is difficult to objectively and accurately assess the road cracks based on human visual perception. The ultimate objective of this study is to evaluate crack sealing performance on highways, in order to choose the best crack sealing practice in an automated manner. As a preliminary step, this paper discusses how to define crack sealing performance and propose a research methodology to quantify the level of road surface distress using video image processing.
AB - Crack sealing is a routine and necessary operation of pavement maintenance. Manual observation of road surfaces has been the most common method for evaluating road surface cracks around the world. However it is difficult to objectively and accurately assess the road cracks based on human visual perception. The ultimate objective of this study is to evaluate crack sealing performance on highways, in order to choose the best crack sealing practice in an automated manner. As a preliminary step, this paper discusses how to define crack sealing performance and propose a research methodology to quantify the level of road surface distress using video image processing.
UR - http://www.scopus.com/inward/record.url?scp=84861535554&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84861535554&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84861535554
SN - 4990271718
SN - 9784990271718
T3 - 2006 Proceedings of the 23rd International Symposium on Robotics and Automation in Construction, ISARC 2006
SP - 341
EP - 345
BT - 2006 Proceedings of the 23rd International Symposium on Robotics and Automation in Construction, ISARC 2006
ER -