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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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Design Challenges of Multi-UAV Systems in Cyber-Physical Applications: A Comprehensive Survey and Future Directions

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Applications of multirotor drone technologies in construction management

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Potential of big visual data and building information modeling for construction performance analytics: An exploratory study

TL;DR: This paper investigates current strategies for leveraging emerging big visual data and BIM in construction performance monitoring from these three aspects, characterizes gaps in knowledge via case studies and structures a road map for research in visual sensing and analytics.
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Transfer learning and deep convolutional neural networks for safety guardrail detection in 2D images

TL;DR: It is indicated that the synthetic images generated by augment technology can be used to create a large training dataset, and CNN-based image detection algorithm is a promising approach in construction jobsite safety monitoring.
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RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database

TL;DR: Results of the designed methods confirm the feasibility of the developed drone RF database to be used for detection and identification, and the developed RF database along with the implementations are made publicly available for students and researchers alike.
References
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Proceedings ArticleDOI

LOAM: Lidar Odometry and Mapping in Real-time

TL;DR: The method achieves both low-drift and low-computational complexity without the need for high accuracy ranging or inertial measurements and can achieve accuracy at the level of state of the art offline batch methods.
Journal ArticleDOI

Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system

TL;DR: The performance evaluation of a UAV system that was built to rapidly and autonomously acquire mobile three-dimensional mapping data and its execution for the generation of 3D point clouds from digital mobile images is presented.
Proceedings ArticleDOI

Vision based MAV navigation in unknown and unstructured environments

TL;DR: This is the first work describing a micro aerial vehicle able to navigate through an unexplored environment (independently of any external aid like GPS or artificial beacons), which uses a single camera as only exteroceptive sensor.
Journal ArticleDOI

Collaborative mapping of an earthquake-damaged building via ground and aerial robots

TL;DR: Results from field experiments conducted with a team of ground and aerial robots engaged in the collaborative mapping of an earthquake-damaged building that was damaged during the 2011 Tohoku earthquake are reported.
Journal ArticleDOI

A review of rotorcraft Unmanned Aerial Vehicle (UAV) developments and applications in civil engineering

TL;DR: An overview of the state of UAV developments and their possible applications in civil engineering is given and the latest developments in technologies related to UAVs are reviewed, such as control theories, navigation methods, and image processing.
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