Date of Award:
12-2018
Document Type:
Dissertation
Degree Name:
Doctor of Philosophy (PhD)
Department:
Civil and Environmental Engineering
Committee Chair(s)
Marc Maguire
Committee
Marc Maguire
Committee
Paul Barr
Committee
Marvin W. Halling
Committee
Yan Sun
Committee
Calvin Coopmans
Abstract
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.
Checksum
a8242e6b92ec78cba38e6ad9fcf7732d
Recommended Citation
Dorafshan, Sattar, "Non-Contact Evaluation Methods for Infrastructure Condition Assessment" (2018). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 7314.
https://digitalcommons.usu.edu/etd/7314
Included in
Copyright for this work is retained by the student. If you have any questions regarding the inclusion of this work in the Digital Commons, please email us at .