A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure. Issue 2 (April 2015)

• Record Type: Journal Article
• Authors: Koch, Christian; Georgieva, Kristina; Kasireddy, Varun; Akinci, Burcu; Fieguth, Paul
• Is Part Of: Advanced engineering informatics. Volume 29:Issue 2(2015:Apr.)
• Page Start: 196
• Page End: 210
• Publication Date: 2015-04
• Subjects: Computer-aided engineering -- Periodicals; Engineering -- Data processing -- Periodicals; 620.00285
• DOI: 10.1016/j.aei.2015.01.008
• Languages: English
• ISSNs: 1474-0346

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st180">Highlights</title> <sec> <p id="sp0005"> <list id="l0005"> <list-item id="o0005"> <label></label> <p id="p0575">Visual inspection of civil infrastructure is essential for condition assessment.</p> </list-item> <list-item id="o0010"> <label></label> <p id="p0580">We focus on concrete bridges, tunnels, underground pipes, and asphalt pavements.</p> </list-item> <list-item id="o0015"> <label></label> <p id="p0585">Accordingly, we review the latest computer vision based defect detection methods.</p> </list-item> <list-item id="o0020"> <label></label> <p id="p0590">Using computer vision most relevant types of defects can be automatically detected.</p> </list-item> <list-item id="o0025"> <label></label> <p id="p0595">Automatic defect properties retrieval and assessment has not been achieved yet.</p> </list-item> </list> </p> </sec> </abstract>