SPR-4213: Determining Concrete Patch Locations other than Visual

Project Details
STATE

IN

SOURCE

RIP

START DATE

01/01/18

END DATE

12/31/19

RESEARCHERS

Krogmeier, James; Bell, Mark

SPONSORS

Purdue University/Indiana Department of Transportation JHRP

KEYWORDS

Artificial intelligence; Classification; Ground penetrating radar; Patching; Pavement maintenance; Sensors

Project description

In this research, the fusion of data from two current Indiana Department of Transportation (INDOT) sensors (WayLink 3D Laser Imaging and GSSI ground penetrating radar) will be investigated and methods will be developed to use them to create a patching and classification table. The proposed approach is to use the 3D imaging system to create a 1 mm resolution image of the pavement surface and develop an artificial intelligence based technique, which may allow narrowing the patch search area in order to concentrate computational and human resources for analyzing the GPR data.
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