摘要: |
As a part of the Digital Highway Data Vehicle (DHDV), the automated survey system developed at the University of Arkansas is the implementation of a real-time system for pavement surface cracking survey. The researchers faced tremendous tasks in optimizing imaging algorithms to speed up the processing at the same time without sacrificing accuracy in identifying and classifying cracks. This report introduces the automated real-time system and summarizes the experiences in developing parallel algorithms in imaging processing used in the real-time system. The hardware system for processing images is based on the ubiquitous multi-CPU x86 platform that has the capability of parallel processing at multi-CPU level (Symmetrical Processing, SMP) and within CPU level (Single Instruction Multiple Data, SIMD). The paper also presents results of a network level survey with the Digital Highway Data Vehicle (DHDV) and the Distress Analyzer on a network of about 161 kilometers (100 miles) of pavements. In addition, a manual survey was conducted on the same network of pavements. World Bank's Universal Cracking Indicator (CI) is used in the study. Because the Distress Analyzer is fully automated and results of the analysis are provided in synch with image collection, the potential cost savings when compared with manual survey methods and other semi-automated survey technologies are tremendous. / NOTE: Final rept. / Availability Note: Order this product from NTIS by: phone at 1-800-553-NTIS (U.S. customers); (703)605-6000 (other countries); fax at (703)605-6900; and email at orders@ntis.gov. NTIS is located at 5285 Port Royal Road, Springfield, VA, 22161, USA. |