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Visual monitoring of civil infrastructure systems via camera-equipped Unmanned Aerial Vehicles (UAVs): a review of related works

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TLDR
The most relevant works from Civil Engineering, Computer Vision, and Robotics communities are presented and compared in terms of their potential to lead to automatic construction monitoring and civil infrastructure condition assessment.
Abstract
Over the past few years, the application of camera-equipped Unmanned Aerial Vehicles (UAVs) for visually monitoring construction and operation of buildings, bridges, and other types of civil infrastructure systems has exponentially grown. These platforms can frequently survey construction sites, monitor work-in-progress, create documents for safety, and inspect existing structures, particularly for hard-to-reach areas. The purpose of this paper is to provide a concise review of the most recent methods that streamline collection, analysis, visualization, and communication of the visual data captured from these platforms, with and without using Building Information Models (BIM) as a priori information. Specifically, the most relevant works from Civil Engineering, Computer Vision, and Robotics communities are presented and compared in terms of their potential to lead to automatic construction monitoring and civil infrastructure condition assessment.

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Book

Unmanned Aerial Vehicles: A Survey on Civil Applications and Key Research Challenges

TL;DR: The use of unmanned aerial vehicles (UAVs) is growing rapidly across many civil application domains, including real-time monitoring, providing wireless coverage, remote sensing, search and rescue, delivery of goods, security and surveillance, precision agriculture, and civil infrastructure inspection.
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A literature review of next-generation smart sensing technology in structural health monitoring

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A Review of the Piezoelectric Electromechanical Impedance Based Structural Health Monitoring Technique for Engineering Structures

Wongi S. Na, +1 more
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TL;DR: The studies applied for the past decade related to the EMI technique have been reviewed and new concepts and ideas proposed by various authors are also surveyed, and the paper concludes with a discussion of the potential directions for future works.
Journal ArticleDOI

Historic Building Information Modelling: performance assessment for diagnosis-aided information modelling and management

TL;DR: A new methodology toward Diagnosis-Aided Historic Building Information Modelling and Management (DA-HBIMM) is proposed as a framework to be developed in order to address smart knowledge acquisition, collection and notification of assessed performances and eventual risks, by cognitive automation and artificial intelligence, in the near future.
References
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Journal ArticleDOI

An Unmanned Aerial Vehicle-Based Imaging System for 3D Measurement of Unpaved Road Surface Distresses1

TL;DR: An innovative Unmanned Aerial Vehicle UAV-based digital imaging system focusing on efficient collection of surface condition data over rural roads by exploring aerial imagery acquired from an unpiloted platform to derive a three-dimensional 3D surface model over a road distress area for distress measurement is introduced.
Journal ArticleDOI

Status quo and open challenges in vision-based sensing and tracking of temporary resources on infrastructure construction sites

TL;DR: An overview to vision-based sensing technology available for temporary resource tracking at infrastructure construction sites is presented and the status quo of research applications is provided by highlighting exemplary case.
Journal ArticleDOI

Augmented Reality for Construction Site Monitoring and Documentation

TL;DR: This paper presents an approach that uses aerial 3-D reconstruction to automatically capture progress information and a mobile AR client for on-site visualization and provides an overview about the possibilities and future applications of AR in the construction industry.
Journal ArticleDOI

As-built data acquisition and its use in production monitoring and automated layout of civil infrastructure

TL;DR: This review outlines recent research efforts and technological developments that aim to facilitate the analysis of 3D data acquired from as-built civil infrastructure and applications of such data, not only to the construction process per se but also to facility management - in particular, to production monitoring and automated layout.
Book ChapterDOI

Collaborative Mapping of an Earthquake Damaged Building via Ground and Aerial Robots.

TL;DR: In this paper, the authors report results from field experiments conducted with a team of ground and aerial robots engaged in the collaborative mapping of an earthquake-damaged building, where the goal of the experimental exercise is the generation of three-dimensional maps that capture the layout of a multifloor environment.
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