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Showing papers in "Automation in Construction in 2018"


Journal ArticleDOI
TL;DR: A generic taxonomy consisting of VR/AR technology characteristics, application domains, safety scenarios and evaluation methods is brought up to assist both researchers and industrial practitioners with appreciating the research and practice frontier ofVR/AR-CS and soliciting the latest VR/ AR applications.

532 citations


Journal ArticleDOI
TL;DR: In this article, a bibliometric study was conducted to explore the state of off-site construction research, and a quantitative approach using "science mapping" techniques was employed to examine 501 top-ranked construction journal articles.

351 citations


Journal ArticleDOI
TL;DR: The results reveal that the developed hybrid model (CNN + LSTM) is able to accurately detect safe/unsafe actions conducted by workers on-site and exceeds the current state-of-the-art descriptor-based methods for detecting points of interest on images.

307 citations


Journal ArticleDOI
TL;DR: In this paper, the authors proposed the use of a high precision, high recall and widely applicable Faster R-CNN method to detect construction workers' non-hardhat-use (NHU) detection.

304 citations


Journal ArticleDOI
TL;DR: A comprehensive review of various literature that addresses this topic is presented, followed by the identification of a standard procedures for operating a UAS for energy audit missions, and a discussion of the findings suggests refining procedure accuracy through further empirical experimentation, as a step towards standardizing the automation of building envelope inspection.

265 citations


Journal ArticleDOI
TL;DR: The review indicates that the existing wearable technologies applied in other industrial sectors can be used to monitor and measure a wide variety of safety performance metrics within the construction industry.

259 citations


Journal ArticleDOI
TL;DR: The results show that the use of BIM for transportation infrastructure has been increasing, although the research has mainly been focusing on roads, highways, and bridges, and a major need for a standard neutral exchange format and schema to promote interoperability is revealed.

256 citations


Journal ArticleDOI
TL;DR: An automated computer vision-based method that uses two convolutional neural network models to determine if workers are wearing their harness when performing tasks while working at heights can be used by construction and safety managers to proactively identify unsafe behavior and take immediate action to mitigate the likelihood of a FFH occurring.

255 citations


Journal ArticleDOI
TL;DR: An up-to-date review of AM as it relates to the construction industry, identifies the trend of AM processes and materials being used, and discusses related methods of implementing AM and potential advancements in applications of AM.

251 citations


Journal ArticleDOI
TL;DR: An Internet of Things (IoT)-enabled platform is designed by integrating IoT and BIM for prefabricated public housing projects in Hong Kong, which can provide various decision support tools and services to different stakeholders for improving the efficiency and effectiveness of daily operations, decision making, collaboration, and supervision.

245 citations


Journal ArticleDOI
TL;DR: It was found that productivity is higher when the robotic construction method is used for complex walls, indicating that it is possible to obtain significant economic benefit from the use of additive dfab to construct complex structures.

Journal ArticleDOI
TL;DR: An automated approach is developed for detecting sewer pipe defects based on a deep learning technique namely faster region-based convolutional neural network (faster R-CNN) and results demonstrate that dataset size, initialization network type and training mode, and network hyper-parameters have influence on model performance.

Journal ArticleDOI
TL;DR: This paper proposes a 3D printing system that employs multiple mobile robots printing concurrently a large, single-piece, structure, and is the first physical demonstration of large-scale, concurrent,3D printing of a concrete structure by multiple mobile Robots.

Journal ArticleDOI
TL;DR: A BIM VR real-time synchronization system called BVRS is introduced, which is based on an innovative Cloud-based BIM metadata interpretation and communication method and allows users to update BIM model changes in VR headsets automatically and simultaneously.

Journal ArticleDOI
TL;DR: The proposed CNN based crack detection model is a promising alternative to support transportation agencies in the task of periodic pavement inspection.

Journal ArticleDOI
TL;DR: The results demonstrate that the proposed field stress recognition procedure can be used for the early detection of workers' stress, which can contribute to improving workers' safety, health, wellbeing, and productivity.

Journal ArticleDOI
TL;DR: This research contributes to the body of knowledge by first defining, and examining one of the first few pilots implementation of FM-enabled BIM, and discussing the challenges encountered and the lessons learned, and proposing a research framework for future researchers to systematically and strategically build the knowledge foundation on BIM for FM field.

Journal ArticleDOI
TL;DR: The built environment provides significant opportunities for IoT (Internet of Things) deployment, and can be singled out as one of the most important aspects for IoT related research.

Journal ArticleDOI
TL;DR: In this article, the authors take a longitudinal view of literature to explain the current period as disruptive technology drives an evolutionary adaptation of the construction industry in a historical socio-technological process.

Journal ArticleDOI
TL;DR: The field investigation of the bridge demonstrated the image quality and damage identification capabilities of the drone to perform bridge inspection at a lower cost when compared to traditional methods.

Journal ArticleDOI
TL;DR: A new methodology toward Diagnosis-Aided Historic Building Information Modelling and Management (DA-HBIMM) is proposed as a framework to be developed in order to address smart knowledge acquisition, collection and notification of assessed performances and eventual risks, by cognitive automation and artificial intelligence, in the near future.

Journal ArticleDOI
TL;DR: A framework that uses deep convoluted neural networks (CNNs) to classify multiple defects in sewer CCTV images to improve the speed, accuracy, and consistency of sewer defect reporting is presented.

Journal ArticleDOI
TL;DR: In this article, the authors address the technical challenges for the industrial implementation of additive manufacturing of construction materials, e.g., materials formulation standardization, and interfacial bonding quality between the deposited layers.

Journal ArticleDOI
TL;DR: A number of possibilities for future research into DT in FM are identified, including enhancing the interoperability of data, improving the accuracy of point cloud data for developing as-built models for existing facilities, and generating effective BIM/GIS asset database integration.

Journal ArticleDOI
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.

Journal ArticleDOI
TL;DR: This new system demonstrates how a future smart city can build the environment monitoring system benefited by the wireless network covering the urban area and can be further integrated in the urban water management system to achieve improved efficiency.

Journal ArticleDOI
TL;DR: This paper introduces Design for Manufacture and Assembly into prefabricated building design, and combines it with parametric design of Building Information Modeling (BIM) to develop the concept and process of DFMA-oriented parametricDesign.

Journal ArticleDOI
TL;DR: It is recommended that the predictive RF model be deployed in construction organizations, especially large public and private developers, contractors and industry associations, to provide monthly forecast of project safety performance so that pre-emptive inspections and interventions can be implemented in a more targeted manner.

Journal ArticleDOI
TL;DR: A novel design for an autonomous system that monitors, localizes, and warns site laborers who avail within danger zones is proposed, and its architecture is based on Internet of Things (IoT).

Journal ArticleDOI
TL;DR: An FMM framework based on BIM and facility management systems (FMSs), which can provide automatic scheduling of maintenance work orders (MWOs) to enhance good decision making in FMM is proposed.