Application of New Technology Data Acquisition Using Aerial (UAV) Digital Images for the Needs of Urban Revitalization

Banaszek, Anna; Zarnowski, Aleksander; Cellmer, Anna; Banaszek, Sebastian

doi:10.3846/enviro.2017.159

Cited by 16 publications

(9 citation statements)

References 9 publications

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“…Nakagawa et al (2015) used UAS to inspect a sediment-retarding basin that consisted of dikes, bridges and debris barriers; the study found that UAS is more effective than ground-based scanning. Banaszek et al (2017) used UAS to collect data of various urban structures, in which the UAS data collection approach can replace the laborious and lengthy traditional data update technique. Zhang and Elaksher (2012) studied using UAS to measure surface distresses of unpaved roads and found that comparing to satellites and manned aircrafts, UAS can collect images faster, more safely and cost less.…”

Section: Unmanned Aerial System Applications In Constructionmentioning

confidence: 99%

“…Wang et al (2009) equipped a thermal camera and a visual camera to diagnose both thermal faults and visual faults of the building. Four research articles (Ellenberg et al , 2014a, 2014b; Nakagawa et al , 2015; Perng et al , 2017; Banaszek et al , 2017) applied photogrammetry in their experiments. Researchers have used photogrammetry techniques to generate point cloud data for three-dimensional modeling or distance measurement in applications such as inspecting structural defects (Perng et al , 2017) or detecting building cracks (Ellenberg et al , 2014a, 2014b).…”

Section: On-board Sensors In Unmanned Aerial Systems For Construction Applicationsmentioning

confidence: 99%

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Unmanned aerial system applications in construction: a systematic review

Zhou

Gheisari

2018

103

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Purpose Over the past decade, researchers have used unmanned aerial systems (UASs) in construction industry for various applications from site inspection to safety monitoring or building maintenance. This paper aims to assort academic studies on construction UAS applications, summarize logics behind using UAS in each application and extend understanding of current state of UAS research in the construction setting. Design/methodology/approach This research follows a systematic literature assessment methodology to summarize the results of 54 research papers over the past ten years and outlines the research trends for applying UASs in construction. Findings UASs are used in building inspection, damage assessment, site surveying, safety inspection, progress monitoring, building maintenance and other construction applications. Cost saving, time efficiency and improved accessibility are the primary reasons for choosing UAS in construction applications. Rotary-wing UASs are the most common types of UASs being used in construction. Cameras, LiDAR and Kinect are the most common onboard sensors integrated in construction UAS applications. The control styles used are manual, semi-autonomous and autonomous. Originality/value This paper contributes to classification of UAS applications in construction research and identification of UAS hardware and sensor types as well as their flying control systems in construction literature.

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Section: Unmanned Aerial System Applications In Constructionmentioning

confidence: 99%

Section: On-board Sensors In Unmanned Aerial Systems For Construction Applicationsmentioning

confidence: 99%

Unmanned aerial system applications in construction: a systematic review

Zhou

Gheisari

2018

103

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“…UAVs are widely used in construction for applications that can be broadly divided into six areas: (1) building inspection, where UAVs are used for data collection to assess the current building condition [19][20][21][22];…”

Section: Uavs For Building Deterioration Detection Currentlymentioning

confidence: 99%

Application of Deep Learning and Unmanned Aerial Vehicle on Building Maintenance

Kung

Pan

Wang

et al. 2021

Advances in Civil Engineering

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Several natural and human factors are responsible for the defacement of the external walls and tiles of buildings, and the related deterioration can be a public safety hazard. Therefore, active building maintenance and repair processes are essential for ensuring building sustainability. However, conventional inspection methods are time-, cost-, and labor-intensive processes. Therefore, herein, this study proposes a convolutional neural network (CNN) model for image-based automated detection and localization of key building defects (efflorescence, spalling, cracking, and defacement). Based on a pretrained CNN VGG-16 classifier, this model applies class activation mapping for object localization. After identifying its limitations in real-life applications, this study determined the model’s robustness and ability to accurately detect and localize defects in the external wall tiles of buildings. For real-time detection and localization, this study applied this model by using mobile devices and drones. The results show that the application of deep learning with UAV can effectively detect various kinds of external wall defects and improve the detection efficiency.

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“…An autonomous drone Structural Health Monitoring (SHM) system introduced by Kang and Cha [54] was used for crack detection in concrete and coupled with deep learning techniques. Banaszek et al [55] utilized drones to collect data on various urban structures. Zhang and Elaksher [56] showed that drones could collect images faster, safer, and economical than satellites and manned aircraft in measuring surface distresses of unpaved roads.…”

Section: Infrastructure Monitoring and Photographingmentioning

confidence: 99%

Using drone technologies for construction project management: A narrative review

Yıldız¹,

Kıvrak²,

Arslan³

2021

JCEMI

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The construction sector is one of the sectors where productivity is low compared to other production sectors. Studies have shown that drone technologies can increase productivity in construction. Thus, the use of drones in construction sites has increased in recent years, especially in developed countries. Although drones are technical aerial vehicles, this study focused on non-technical aspects of the use of drone technologies such as current and possible usage areas, advantages and disadvantages of using a drone, issues that should be considered while procuring a drone for a construction site and legal regulations related to the use of drones. In this context, a narrative literature review was conducted and articles examining the use of drones in construction sites were investigated. In addition to the studies in the literature, practical applications were also discussed. The study indicated that drones might make significant contributions to construction management activities. It is expected that this study serves to increase the use of drone technology in construction project management by introducing it in a comprehensive way to the stakeholders.

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Application of New Technology Data Acquisition Using Aerial (UAV) Digital Images for the Needs of Urban Revitalization

Cited by 16 publications

References 9 publications

Unmanned aerial system applications in construction: a systematic review

Unmanned aerial system applications in construction: a systematic review

Application of Deep Learning and Unmanned Aerial Vehicle on Building Maintenance

Using drone technologies for construction project management: A narrative review

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