| Title |
The Development of a Machine Vision Algorithm for Automation of Pavement Crack Sealing |
| Authors |
Yoo, Hyun-Seok ; Lee, Jeong-Ho ; Kim, Young-Suk ; Kim, Jung-Ryeol |
| Keywords |
Crack ; Crack sealing ; Mapping ; Modeling ; Path planning ; Digital image processing ; Machine vision |
| Abstract |
Machines for crack sealing automation have been continually developed since the early 1990's because of the effectiveness of crack sealing that would be able to improve safety, quality and productivity. It has been considered challenging problem to detect crack network in pavement which includes noise (oil marks, skid marks, previously sealed cracks and inherent noise). Moreover, it is required to develop crack network mapping and modeling algorithm in order to accurately inject sealant along to the middle of cut crack network. The primary objective of this study is to propose machine vision algorithms (digital image processing algorithm and path planning algorithm) for fully automated pavement crack sealing. It is anticipated that the effective use of the proposed machine vision algorithms would be able to reduce error rate in image processing for detecting, mapping and modeling crack network as well as improving quality and productivity compared to existing vision algorithms. |