Non-Contact Evaluation Methods for Infrastructure Condition Assessment

Non-Contact Evaluation Methods for Infrastructure Condition Assessment

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 overc...

Full description

Bibliographic Details
Main Author: Dorafshan, Sattar
Format: Others
Published: DigitalCommons@USU 2018
Subjects:
Defect detection
Bridge inspections
Unmanned aerial systems
image processing
Convolutional neural networks
Civil and Environmental Engineering
Online Access:https://digitalcommons.usu.edu/etd/7314
https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=8422&context=etd
id ndltd-UTAHS-oai-digitalcommons.usu.edu-etd-8422
record_format oai_dc
spelling ndltd-UTAHS-oai-digitalcommons.usu.edu-etd-84222019-10-13T05:49:34Z Non-Contact Evaluation Methods for Infrastructure Condition Assessment Dorafshan, Sattar 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. 2018-12-01T08:00:00Z text application/pdf https://digitalcommons.usu.edu/etd/7314 https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=8422&context=etd Copyright for this work is held by the author. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the copyright owners. Works not in the public domain cannot be commercially exploited without permission of the copyright owner. Responsibility for any use rests exclusively with the user. For more information contact digitalcommons@usu.edu. All Graduate Theses and Dissertations DigitalCommons@USU Defect detection Bridge inspections Unmanned aerial systems image processing Convolutional neural networks Civil and Environmental Engineering
collection NDLTD
format Others
sources NDLTD
topic Defect detection
Bridge inspections
Unmanned aerial systems
image processing
Convolutional neural networks
Civil and Environmental Engineering
spellingShingle Defect detection
Bridge inspections
Unmanned aerial systems
image processing
Convolutional neural networks
Civil and Environmental Engineering
Dorafshan, Sattar
Non-Contact Evaluation Methods for Infrastructure Condition Assessment
description 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.
author Dorafshan, Sattar
author_facet Dorafshan, Sattar
author_sort Dorafshan, Sattar
title Non-Contact Evaluation Methods for Infrastructure Condition Assessment
title_short Non-Contact Evaluation Methods for Infrastructure Condition Assessment
title_full Non-Contact Evaluation Methods for Infrastructure Condition Assessment
title_fullStr Non-Contact Evaluation Methods for Infrastructure Condition Assessment
title_full_unstemmed Non-Contact Evaluation Methods for Infrastructure Condition Assessment
title_sort non-contact evaluation methods for infrastructure condition assessment
publisher DigitalCommons@USU
publishDate 2018
url https://digitalcommons.usu.edu/etd/7314
https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=8422&context=etd
work_keys_str_mv AT dorafshansattar noncontactevaluationmethodsforinfrastructureconditionassessment
_version_ 1719267039584976896

Similar Items