Roles, Benefits, and Challenges of Using UAVs for Indoor Smart Construction Applications

McCabe, Brenda; Hamledari, Hesam; Shahi, Arash; Zangeneh, Pouya; Azar, Ehsan Rezazadeh

doi:10.1061/9780784480830.043

Cited by 43 publications

(36 citation statements)

References 22 publications

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“…Research and industry reports have acknowledged the existence of barriers that hamper the wider adoption of RPAs in the construction context (Dupont et al, 2017;McCabe et al, 2017;McMinn, 2017;Zhou and Gheisari, 2018). With this in mind, this study provides original insight by taking the argument about the barriers to the next level.…”

Section: Discussionmentioning

confidence: 92%

“…Construction-related operations require an understanding of the nature of construction activities, and hence, particular training courses can enhance the effectiveness and safety of flights (McMinn, 2017;Ayemba, 2018). Further, proximity detecting sensors can be helpful in this regard, as they can prevent unpleasant clashes between RPAs and human or site objects (Teizer and Cheng, 2015;Corrigan, 2018b).…”

Section: Barriers and Proposed Enablersmentioning

confidence: 99%

“…Despite their broad potential and strong promotion within academic discourse, RPAs have not been widely adopted across the construction industry due to a plethora of barriers (Dupont et al, 2017;McCabe et al, 2017). For example, recent studies suggest that the key barriers include stringent aviation regulations exacerbated by public concerns that RPAs are being used ostensibly as surveillance equipment (Karpowicz, 2017a;McMinn, 2017). Similarly, their commercial use has been criticized by both individuals and activist organizations around issues relating to informational integrity and privacy (Luppicini and So, 2016;Rao et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Barriers to adoption of RPAs on construction projects: a task–technology fit perspective

Golizadeh

Hosseini

Edwards

et al. 2019

Construction Innovation

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Purpose-Extant literature extensively articulates the advantages of using remotely piloted aircrafts (RPAs) in a myriad of construction activities. Yet, the barriers that hinder their wider adoption on construction projects have received scant academic attention. This study aims at addressing this gap in the literature. Design/methodology/approach-This study reviews 59 papers published on the use of RPAs for construction activities and offers an evaluation of barriers to widespread adoption throughout the sector. Findings-Barriers are identified, collated and categorized into five thematic groups, namely, technical difficulties, restrictive regulatory environment, site-related problems, weather and organizational barriers. Practical implications-The paper contributes to knowledge by: signposting a need for reordering priorities when defining future research on RPAs, suggesting measures to address the barriers identified and providing pragmatic guidance for construction companies intending to use RPAs on their projects. Originality/value-Using the task-technology fit theory, the study uncovers that current RPA technology is an under-fit match for construction activities and represents a prominent barrier to adoption. This is a dissenting finding, given that past studies on RPAs have primarily focused upon addressing public acceptance, concerns and societal consequences. Enablers of the identified barriers are also collated from extant literature and contemporary practice and encapsulated in a conceptual model.

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Section: Discussionmentioning

confidence: 92%

Section: Barriers and Proposed Enablersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Barriers to adoption of RPAs on construction projects: a task–technology fit perspective

Golizadeh

Hosseini

Edwards

et al. 2019

Construction Innovation

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“…Deep learning methods applied on images captured from UAVs have an actual significance in CPSs. For instance, previous studies proposed the deep learning approach for detecting and counting cars for images captured from UAVs [161], road traffic monitoring from UAVs [162], and inspecting civil infrastructure systems [28,163].…”

Section: ) Effective Visual Data Analysis Algorithmsmentioning

confidence: 99%

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

Shakeri

Al-Garadi

Badawy

et al. 2019

IEEE Commun. Surv. Tutorials

196

100

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Unmanned Aerial Vehicles (UAVs) have recently rapidly grown to facilitate a wide range of innovative applications that can fundamentally change the way cyber-physical systems (CPSs) are designed. CPSs are a modern generation of systems with synergic cooperation between computational and physical potentials that can interact with humans through several new mechanisms. The main advantages of using UAVs in CPS application is their exceptional features, including their mobility, dynamism, effortless deployment, adaptive altitude, agility, adjustability, and effective appraisal of real-world functions anytime and anywhere. Furthermore, from the technology perspective, UAVs are predicted to be a vital element of the development of advanced CPSs. Therefore, in this survey, we aim to pinpoint the most fundamental and important design challenges of multi-UAV systems for CPS applications. We highlight key and versatile aspects that span the coverage and tracking of targets and infrastructure objects, energy-efficient navigation, and image analysis using machine learning for fine-grained CPS applications. Key prototypes and testbeds are also investigated to show how these practical technologies can facilitate CPS applications. We present and propose state-of-the-art algorithms to address design challenges with both quantitative and qualitative methods and map these challenges with important CPS applications to draw insightful conclusions on the challenges of each application. Finally, we summarize potential new directions and ideas that could shape future research in these areas. M 2 respectively. However, as shown in Fig.1, both technologies provide two extremes for surveillance with respect to accuracy versus intrusive deployment and maintenance. SRS provides slow large-scale monitoring, while CSNs require widespread deployment and constant human intervention for setup and maintenance, which may not be feasible particularly in harsh environments. On the one hand, SRS cannot be used for finegrain monitoring, such as monitoring of structural objects, with high accuracy, which limits its usage in many applications that require close monitoring and context detection [5]. On the other hand, traditional sensor networks (SNs) are spreading in countless number of Internet of Things (IoT) applications to provide automatic monitoring of objects, humans, and/or infrastructure. SNs, however, require permanent deployment of large magnitude of localized sensors, intrusively to the environment in many cases, and also require constant human intervention to manage and maintain. The proliferation of lowcost UAVs [6] is emerging to provide innovative ways of low altitude sensing with zero-deployment (i.e., no fixed deployment requirements) that can fundamentally change the way such applications are designed.Similar to surveillance applications, UAV technologies have progressed significantly in several applications in the past decade, making commercial and civil applications feasible and compelling. As it occurs with many disruptive technolo...

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“…The advancement of Unmanned Aerial Vehicle technology, especially related to the small UAVs and those operated by rotary propeller systems associated with attached sensors, such as high resolution digital cameras and GPS, makes it a reliable tool and easy-to-operate on construction sites for visual data recording (Han et al, 2018;Han and Golparvar-Fard, 2015;McCabe et al, 2017).By enabling fast and complete construction site images capture from different positioning, the potential of UAVs to monitor and document construction progress has been explored in recent studies (Lin et al, 2015;McCabe et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Literature Review on Visual Construction Progress Monitoring Using Unmanned Aerial Vehicles

Álvares¹,

Costa²

2018

Annual Conference of the International Group for Lean Construction

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Due to the complexity and dynamism that characterize construction activities, the execution of work packages as planned requires a systematic monitoring and control of their operations and progress. However, the most common practices for construction progress monitoring are still based on individual observations and often still rely on textbased documentation. In order to improve the collaboration and transparency of this process, studies highlight applications of visual data, such as photographs, videos, 3D and 4D models. Due to the large number of publications that address the use of visual data for construction progress monitoring, and the growing use of Unmanned Aerial Vehicles (UAVs), the objective of this work is to present a systematic literature review concerning the use of UAVs as a tool for aiding construction progress monitoring. For that purpose, a literature review was carried out for papers dated from 2008 to 2018 using Scopus database. The findings indicated that the development of progress monitoring automated systems, the use of 3D as-built point cloud models and Building Information Modeling are the most frequently discussed subjects within the papers surveyed. Also, a gap was identified regarding the lack of studies that effectively integrate the visual monitoring with the construction management systems.

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Roles, Benefits, and Challenges of Using UAVs for Indoor Smart Construction Applications

Cited by 43 publications

References 22 publications

Barriers to adoption of RPAs on construction projects: a task–technology fit perspective

Barriers to adoption of RPAs on construction projects: a task–technology fit perspective

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

Literature Review on Visual Construction Progress Monitoring Using Unmanned Aerial Vehicles

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