Investigation of Image Archiving for Pavement Surface Distress Survey

摘要

The categorizations and quantifications of the type, severity, and extent of211u001epavement surface distress is a primary method for assessing pavement condition. 211u001eThe current data collection system in the Arkansas State Highway and 211u001eTransportation Department (AHTD) uses an analog and frame based video van, which 211u001edoes not provide automated pavement surface imaging capabilities. This project 211u001eincludes the evaluation of a newly developed survey system by the RoadWare 211u001eCorporation in Ontario, Canada. The survey system from RoadWare includes data 211u001ecollection and a recognition engine called WiseCrax. The evaluation compared 211u001eselected results from the automated survey from RoadWare and results from manual 211u001esurvey by AHTD staff. The report also describes the status of technology in the 211u001earea of automated pavement distress survey and possible future directions. The 211u001ereport concludes that there still exists limitation in accuracy, speed and degree 211u001eof automation with WiseCrax and other existing systems.