详情

Automated Detection of Characterization of Cracks Using Structure-From-Motion Based Photogrammetry: A Feasibility Study

项目名称：	Automated Detection of Characterization of Cracks Using Structure-From-Motion Based Photogrammetry: A Feasibility Study
摘要：	In infrastructure such as pavement, bridges and tunnels, crack widths and patterns on surfaces are two of the most important signs used to estimate durability. Conventional techniques suffer from challenges such as tediousness, subjectivity, and high cost. A new measurement technique that overcomes these challenges while measuring crack displacement with high accuracy and low cost in aging structures is needed. The research will develop a Structure-from-Motion Based photogrammetry technique for measuring crack widths and patterns using videos taken by commercially available low cost digital cameras. Software will be developed to analyze the videos by combining deep-learning techniques and modern close-range photogrammetry. 3D models of the pavement and bridge structures with high accuracy will be constructed using the videos and will be compared and validated using the results generated from high accuracy LiDAR system. Post-processing algorithms will be developed to automatically calculate the real lengths as well as the real width and depth of a crack at any arbitrary locations. This method for 3D crack mapping will provide us a high accuracy, low cost, and easy-to-operate tool for pavement and bridge management.
状态：	Active
资金：	$
资助组织：	Transportation Infrastructure Durability & Life Extension<==>Office of the Assistant Secretary for Research and Technology
项目负责人：	Kline, Robin
执行机构：	Missouri University of Science & Technology, Rolla
开始时间：	20200501
预计完成日期：	20220530
主题领域：	Highways；Maintenance and Preservation；Pavements