The accuracy of existing data collection methodologies is not traceable or uniform. State highway agency (SHA) practitioners need a way to appropriately calibrate as well as to assess and verify the accuracy of image data collection systems.
With the growing use of imaging systems for conducting pavement evaluations, the industry continues to struggle with how to calibrate the imaging systems and verify that they are properly functioning as intended. While the AASHTO Provisional Standards have been created for collecting such imagery, there is still no widely accepted method for measuring the accuracy of such imagery.
The objectives of this research are to (1) Determine traceable, objective, practical, repeatable, and transparent methods and approaches to assess the accuracy of the system and the subsystem components by developing or identifying a methodology to calibrate the image data collection systems and subsystems, including (a) developing measures and approaches to assess the appropriateness and relevancy of such a calibration methodology, (b) developing appropriate measures and methods to determine the accuracy of the image data collection system, and (c) verifying the reliability of these measures and methods under actual conditions and (2) Develop a system level accuracy statement.