Date of Award:
Doctor of Philosophy (PhD)
Civil and Environmental Engineering
Marvin W. Halling
The United States infrastructure, e.g. roads and bridges, are in a critical condition. Inspection, monitoring, and maintenance of these infrastructure in the traditional manner can be expensive, dangerous, time-consuming, and tied to human judgment (the inspector). Non-contact methods can help overcoming these challenges. In this dissertation two aspects of non-contact methods are explored: inspections using unmanned aerial systems (UASs), and conditions assessment using image processing and machine learning techniques. This presents a set of investigations to determine a guideline for remote autonomous bridge inspections.
Dorafshan, Sattar, "Non-Contact Evaluation Methods for Infrastructure Condition Assessment" (2018). All Graduate Theses and Dissertations. 7314.
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