A Feasibility Study on Data Automation for Comprehensive Pavement Condition Survey
Kelvin C. P. Wang, Weiguo Gong, Robert P Elliott · 2004
Detailed pavement condition survey includes identification and classification of various types of surface cracks, identification of patching and potholes, and quantification of rutting and shoving. For pavements with rigid surfaces, spalling, faulting, corner breaks, and other types of distresses may be also determined during condition survey. The research described in this paper targets at the feasibility study of comprehensive survey of pavement condition in its broad definition through the use of stereovision technology. Based on the Digital Highway Data Vehicle (DHDV) and associated automated distress survey technologies developed at the University of Arkansas, this research project demonstrates that it is feasible to apply stereovision techniques to establish pavement surface in three-dimensional (3D) space with off-the-shelf hardware. Even though the results from the research are experimental in nature at this time, this new development may lead to the use of an alternative, more cost-effective and more powerful method to collect and analyze pavement condition data at one millimetre resolution. (a) For the covering entry of this conference, please see ITRD abstract no. E212095.