A scientometric analysis and critical review of computer vision applications for construction

Martı́nez, Pablo; Al‐Hussein, Mohamed; Ahmad, Rafiq

doi:10.1016/j.autcon.2019.102947

Cited by 172 publications

(98 citation statements)

References 78 publications

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“…There are a number of ways in which this study has a limited scope, as: (i) it does not focus on robot-based semi-autonomous and autonomous applications for construction automation, and (ii) this study only examined visual inspection-based sensors for SHM [17]. Similarly, another review-based study also provided an examination of vision-based applications for construction automation [18]. This study was limited in terms of its scope towards only identifying vision-based systems for construction automation [18].…”

Section: Comparison With Existing Reviewsmentioning

confidence: 99%

“…Similarly, another review-based study also provided an examination of vision-based applications for construction automation [18]. This study was limited in terms of its scope towards only identifying vision-based systems for construction automation [18]. The review of unmanned aerial systems (UAS) by another recent study only focused on the flying drones and the use of an infrared thermography sensor for building inspection [21].…”

Section: Comparison With Existing Reviewsmentioning

confidence: 99%

“…Collectively, the different topics explored by the existing review studies include the discussion related to various NDE sensors, the sensor fusion techniques in general for all applications and particularly for NDE and algorithms for SHM-related data analysis. [19] Liu [14] Khaleghi [15] Sakagami [13] Rehman [20] Chen [16] Feng [22] Rakha [21] Agnisarman [17] Taheri [23] Martinez [18] Dabous [24] This review…”

Section: Dabous Et Al [24] 2020mentioning

confidence: 99%

“…In this review, the focus will be towards examining some of the recent technological developments in relation to the automation of NDE for SHM culminating in various single-sensor and multi-sensor systems with semi/full autonomous capabilities [8,12,[16][17][18]. This review-based study will also cover some of the most important NDE sensors (e.g., visual sensors, impact-echo (IE), infrared (IR), ground-penetrating radar (GPR) and electrical resistivity (ER) sensors) and relevant studies utilizing data from aforementioned sensors towards the NDE of bridges in particular.…”

Section: Of 38mentioning

confidence: 99%

See 3 more Smart Citations

Review of Non-Destructive Civil Infrastructure Evaluation for Bridges: State-of-the-Art Robotic Platforms, Sensors and Algorithms

Ahmed

Gucunski

2020

Sensors

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The non-destructive evaluation (NDE) of civil infrastructure has been an active area of research in recent decades. The traditional inspection of civil infrastructure mostly relies on visual inspection using human inspectors. To facilitate this process, different sensors for data collection and techniques for data analyses have been used to effectively carry out this task in an automated fashion. This review-based study will examine some of the recent developments in the field of autonomous robotic platforms for NDE and the structural health monitoring (SHM) of bridges. Some of the salient features of this review-based study will be discussed in the light of the existing surveys and reviews that have been published in the recent past, which will enable the clarification regarding the novelty of the present review-based study. The review methodology will be discussed in sufficient depth, which will provide insights regarding some of the primary aspects of the review methodology followed by this review-based study. In order to provide an in-depth examination of the state-of-the-art, the current research will examine the three major research streams. The first stream relates to technological robotic platforms developed for NDE of bridges. The second stream of literature examines myriad sensors used for the development of robotic platforms for the NDE of bridges. The third stream of literature highlights different algorithms for the surface- and sub-surface-level analysis of bridges that have been developed by studies in the past. A number of challenges towards the development of robotic platforms have also been discussed.

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Section: Comparison With Existing Reviewsmentioning

confidence: 99%

Section: Comparison With Existing Reviewsmentioning

confidence: 99%

Section: Dabous Et Al [24] 2020mentioning

confidence: 99%

Section: Of 38mentioning

confidence: 99%

See 2 more Smart Citations

Review of Non-Destructive Civil Infrastructure Evaluation for Bridges: State-of-the-Art Robotic Platforms, Sensors and Algorithms

Ahmed

Gucunski

2020

Sensors

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“…Xu and Zou [16] claimed that a literature review of SD in the construction management field was critical in understanding the new and noteworthy research directions. In addition, scientometric analysis has been employed by more and more researchers to overcome subjective issues in the literature review [17][18][19]. However, in the existing studies, there is a lack of a holistic scientometric review to evaluate SD applications in the overall construction management domain.…”

Section: Introductionmentioning

confidence: 99%

A Scientometric Review of System Dynamics Applications in Construction Management Research

Yang

Lai

et al. 2020

Sustainability

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Construction management can be regarded as a complex and dynamic system. In recent years, system dynamics (SD) has been widely applied to solve the complex and dynamic problems in the construction management. However, there is a lack of a scientometric analysis to investigate SD applications in construction management from an objective perspective. To fill out this research gap, this study retrieved a total of 222 relevant articles from the Scopus database. Then, VOSviewer was employed to analyze the collected literature from five aspects (i.e., co-authorship, published journals, co-occurring keywords, article citations, and regions). Based on the analysis results, four mainstream research themes were identified and discussed, including “risk management”, “waste management”, “energy management”, and “construction productivity”. In addition, future research directions, such as “construction risk allocation in PPP projects”, “evaluating the economic feasibility of construction waste landfilling centers”, “identifying the variables affecting lighting infrastructure energy consumption”, and “assessing construction productivity for technology-intensive activities”, were proposed. The contribution of this study lies in that it helps both scholars and practitioners to solve the complex and dynamic problems in construction management.

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Deep Learning for Accurate Corner Detection in Computer Vision-Based Inspection

Ercan

Wang

2021

Computational Science and Its Applications – ICCSA 2021

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A scientometric analysis and critical review of computer vision applications for construction

Cited by 172 publications

References 78 publications

Review of Non-Destructive Civil Infrastructure Evaluation for Bridges: State-of-the-Art Robotic Platforms, Sensors and Algorithms

Review of Non-Destructive Civil Infrastructure Evaluation for Bridges: State-of-the-Art Robotic Platforms, Sensors and Algorithms

A Scientometric Review of System Dynamics Applications in Construction Management Research

Deep Learning for Accurate Corner Detection in Computer Vision-Based Inspection

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