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Dive into the research topics where Sattar Dorafshan is active.

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Featured researches published by Sattar Dorafshan.


international conference on unmanned aircraft systems | 2017

Challenges in bridge inspection using small unmanned aerial systems: Results and lessons learned

Sattar Dorafshan; Marc Maguire; Nathan V. Hoffer; Calvin Coopmans

Unmanned Aerial Systems (UAS) have gained considerable private and commercial interest for a variety of jobs and entertainment in the past 10 years. This paper presents the applications of UAS in transportation and structural engineering with emphasis on bridge inspection. A brief but thorough review of UAS applications for State Department of Transportation in the United States is provided. Potential advantages of UAS are acknowledged and the major challenges of using them for bridge inspections are determined. The feasibility of UAS in crack detection, real-time and post-processing, is studied through a case study in controlled conditions. In addition, fatigue crack detection in steel bridges is investigated using three platforms with different mounted cameras. The results of these case studies showed the possibility of using UAS for damage detection in concrete and steel bridges with comparable results with human inspections in real-time. At its best, current technology limits UAS use to an assistive tool for the inspector to perform a bridge inspection faster, cheaper, and without traffic closure. The major challenges for UAS are satisfying restrictive FAA regulations, control issues in a GPS denied environment, pilot expenses and availability, time and cost allocated to tuning, maintenance, post-processing time and acceptance of the collected data by bridge owners. Using UAS, with self-navigation abilities and improving image- processing algorithms to provide results near real-time could provide bridge inspectors with a useful tool to reduce costs and improve inspection quality.


Archive | 2016

Automatic Surface Crack Detection in Concrete Structures Using OTSU Thresholding and Morphological Operations

Sattar Dorafshan; Marc Maguire; Xiaojun Qi


Archive | 2018

SDNET2018: A concrete crack image dataset for machine learning applications

Marc Maguire; Sattar Dorafshan; Robert J. Thomas


Journal of Bridge Engineering | 2018

Fatigue Crack Detection Using Unmanned Aerial Systems in Fracture Critical Inspection of Steel Bridges

Sattar Dorafshan; Robert J. Thomas; Marc Maguire


Archive | 2017

Fatigue Crack Detection Using Unmanned Aerial Systems in Under-Bridge Inspection

Sattar Dorafshan; Marc Maguire; Nathan V. Hoffer; Calvin Coopmans


26th ASNT Research Symposium | 2017

Comparing Automated Image-Based Crack Detection Techniques in the Spatial and Frequency Domains

Sattar Dorafshan; Marc Maguire; Minwoo Chang


international conference on unmanned aircraft systems | 2018

Deep Learning Neural Networks for sUAS-Assisted Structural Inspections: Feasibility and Application

Sattar Dorafshan; Robert J. Thomas; Calvin Coopmans; Marc Maguire


Archive | 2018

Matrix Model Accuracy of Partially Composite Concrete Sandwich Panels

S. AI-Rubaye; Taylor Sorensen; Sattar Dorafshan; M. Maguire


Journal of Civil Structural Health Monitoring | 2018

Bridge inspection: human performance, unmanned aerial systems and automation

Sattar Dorafshan; Marc Maguire


Infrastructures | 2018

Infrared Thermography for Weld Inspection: Feasibility and Application

Sattar Dorafshan; Marc Maguire; William Collins

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