[V-438] Pavement Inspection by using three-dimensional surface data
Keywords:road surface condition investigation, cracks, ruts, potholes, image analysis, automatic detection
Generally, pavement’s crack is detected based on visual image. From its image, it is difficult to extract cracks automatically because you must focus shades of color to find out tone difference of the pavement. At the result, analyzing process takes long time.
Now, we develop a pavement inspection unit PG-4, focus to handle 3D data with pavement height information and auto crack extraction.
The unit is designed to be compact, lightweight and transportable. To mount it on general vehicle's roof carrier, lots of pavement information such as cracks, ruts, potholes, MCI, etc. can be captured.
In this report, we introduce case studies that we mounted the unit on vehicle, ran roads and extracted cracks from it.
Now, we develop a pavement inspection unit PG-4, focus to handle 3D data with pavement height information and auto crack extraction.
The unit is designed to be compact, lightweight and transportable. To mount it on general vehicle's roof carrier, lots of pavement information such as cracks, ruts, potholes, MCI, etc. can be captured.
In this report, we introduce case studies that we mounted the unit on vehicle, ran roads and extracted cracks from it.
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