AASHTO PP 67-14
- Standard Practice for Quantifying Cracks in Asphalt Pavement Surfaces from Collected Images Utilizing Automated Methods
- standard by American Association of State and Highway Transportation Officials, 2014
- Publisher: AASHTO
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The automation level covered by this standard involves minimal human intervention in the process. It is understood that the current level of technology requires significant human review of the automation process to provide Quality Control/Quality Assurance (QC/QA) of the results and to detect and correct outliers. It is anticipated that the required level of human intervention will decline over the next few years.
Collect the images to be processed according to PP 68.
Sampling of images from the data collection standard process is acceptable before proceeding with the analysis process in this standard. The data sample is to be large enough to provide the confidence level required by the agency. Sample size and spacing will depend on construction practices and numerous other factors that impact pavement continuity. A 100 percent sample is recommended until a sampling method can be supported by statistical analysis.
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