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.read more
Citations
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Book
Unmanned Aerial Vehicles: A Survey on Civil Applications and Key Research Challenges
Hazim Shakhatreh,Ahmad Sawalmeh,Ahmad Sawalmeh,Ala Al-Fuqaha,Ala Al-Fuqaha,Zuochao Dou,Eyad Almaita,Issa Khalil,Noor Shamsiah Othman,Abdallah Khreishah,Mohsen Guizani +10 more
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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Historic Building Information Modelling: performance assessment for diagnosis-aided information modelling and management
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References
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Journal ArticleDOI
An Unmanned Aerial Vehicle-Based Imaging System for 3D Measurement of Unpaved Road Surface Distresses1
Chunsun Zhang,Ahmed F. Elaksher +1 more
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
Stefanie Zollmann,Christof Hoppe,Stefan Kluckner,Christian Poglitsch,Horst Bischof,Gerhard Reitmayr +5 more
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.
Nathan Michael,Shaojie Shen,Kartik Mohta,Vijay Kumar,Keiji Nagatani,Yoshito Okada,Seiga Kiribayashi,Kazuki Otake,Kazuya Yoshida,Kazunori Ohno,Eijiro Takeuchi,Satoshi Tadokoro +11 more
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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