@article{ref1,
title="Wireless SmartVision system for synchronized displacement monitoring of railroad bridges",
journal="Computer-aided civil and infrastructure engineering",
year="2022",
author="V. Shajihan, Shaik Althaf and Hoang, Tu and Mechitov, Kirill and Spencer Jr., Billie F.",
volume="37",
number="9",
pages="1070-1088",
abstract="The deflection of railroad bridges under in-service loads is an important indicator of the structure's health. Over the past decade, an increasing number of studies have demonstrated the efficacy of using vision-based approaches for displacement tracking of civil infrastructure. These studies have relied primarily on external processing of manually recorded videos of a structure's motion to estimate displacements. To date, vision-based techniques applied to long-term structural health monitoring have yet to be proven effective as an alternative to the traditional displacement measurement methods, such as linear variable differential transformers. This paper proposes a wireless SmartVision system (WSVS) that uses edge computing to directly output bridge displacements that can be sent to the end user. The system estimates displacements using both target-free and target-based approaches. A synchronized sensing framework is developed for multipoint displacement estimation using several wireless vision-based nodes for full-scale displacement-based modal analysis of structures. Pose estimation using an AprilTag, a fiducial marker, is employed with a modified algorithm for improved displacement tracking of targets installed on a bridge, yielding subpixel accuracy. The robustness of the results in field conditions is enhanced by linking a tracking quality factor to each timestamp to handle vision-related uncertainties. To meet the need for precise error metrics evaluation, an inexpensive cyber-physical setup using a synthetic testing environment is also developed in this study. Following laboratory validation, field tests on a cable-stayed pedestrian bridge were performed to demonstrate the efficacy of the proposed WSVS.<p /> <p>Language: en</p>",
language="en",
issn="1093-9687",
doi="10.1111/mice.12846",
url="http://dx.doi.org/10.1111/mice.12846"
}