The International Association for Automation and Robotics in Construction
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Abstract: The International Association for Automation and Robotics in Construction (IAARC) and the Local Organizing Committee are pleased to present the Proceedings of the 41st International Symposium on Automation and Robotics in Construction (ISARC 2024). This event was held from June 3-5, 2024, in Lille, France, and was hosted by École ...
Abstract: Automated crack inspection, particularly deep learning (DL)-based crack segmentation, is crucial for the effective and efficient maintenance, repair, and operation of civil infrastructure. However, the performance of DL-based segmentation methods is often limited by the scarcity of pixel-wise labeled crack images. This paper presents CrackGauGAN, an automated crack image synthesis ...
Abstract: Construction robots have become essential tools on a variety of jobsites. These devices can be revolutionary tools for improving construction efficiency and reducing musculoskeletal disorders and traumatic injuries. However, this innovative technology comes with corresponding dangers and hazards if a robot is not operated properly. Construction workers can be injured ...
Abstract: Building energy model (BEM) creation based on building information models (BIM) can save model re-creation time during building design phase. However, current BIM-to-BEM transformation is at the model level so the BEM is re-generated every time when the change happens to the BIM. Since design changes happen frequently and the ...
Abstract: The need to reduce CO2 emissions from concrete leads to increasingly complex mix designs involving e.g. CO2 reduced cements, recycled materials, and various chemical additives. This complexity results in a larger sensitivity of the concrete to unpredictable fluctuations in both, the base material properties and in boundary conditions such as ...
Abstract: Maintaining good situation awareness is crucial for workers safety on the dynamic and complex construction site, and workers with more experience may contribute to better performance in safety. However, little research has investigated the cognitive differences between experienced and novice workers regarding different levels of situation awareness (Level 1: perception, ...
Abstract: Within the scope of additive manufacturing of structural concrete components, the integration of reinforcement provides an inevitable opportunity to enhance the load-bearing capacity of the elements. Besides the rebar integration itself, ensuring the as-planned concrete cover is key for achieving a stable and long-term legally permissible integration. The thickness of ...
Abstract: Establishing proper trust between human workers and robots is crucial for ensuring safe and effective human-robot interaction in various industries, including construction. An accurate trust prediction facilitates timely feedback and interventions, helping workers calibrate their trust levels. While machine-learning modeling personalization (i.e., tailoring models to individual characteristics) have garnered attention ...
Abstract: Non-compliant rebar placement in reinforced concrete structures directly impacts the strength and durability of the overall structure. Current inspection methods heavily rely on manual techniques, introducing subjectivity and potential errors. This paper proposes a method for automatic quality inspection of rebar spacing using vision-based deep learning combined with RGBD camera. ...
Abstract: Prefabrication promises to industrialize the construction industry. By constructing elements within a manufacturing environment, producers can better control quality and maximize production efficiency. Since the major adoption of prefabrication, a wide variety of prefabricated components have been produced for varying applications such as new construction and exterior wall retrofits. While ...
Abstract: In construction teleoperation, particularly in disaster restoration, delicate manipulation of heavy machinery is crucial, based on a thorough understanding of the surroundings. Current practices have utilized multiple viewpoints to facilitate a thorough understanding of the site's 3D spatial layout. However, challenges might arise as visual cues within the surroundings could ...
Abstract: For construction sites monitoring, the use of segmentation-based computer vision technology has been proposed. In such environments, the main technical challenge is the generation of data for training the segmentation model. The training data for a segmentation model involves polygon annotation of objects within an image, which is a time-consuming ...
Abstract: This research delves into the utilization of laser profiling technology within the realm of Three-Dimensional (3D) printing in the construction industry. The primary emphasis is on achieving a seamless integration of Fabrication Information Modeling (FIM), Additive Manufacturing (AM), and Digital Twinning (DT). The study involves the capture of precise measurements ...
Abstract: Guide frames developed for tunnel wall inspection are designed to pass through obstacles in tunnels because the frame shape can be changed. However, in emergencies or when it is better to change the frame shape on the spot depending on the shape and arrangement of obstacles, a simple method to ...
Abstract: The construction industry can benefit greatly from increased automation in construction processes in terms of precision, time, and labor costs. This is especially true for prefabricated construction for either new buildings or envelope retrofits. Here, prefabricated components are manufactured offsite according to design specifications and installed onsite. Accurate information on ...
Abstract: As the construction industry witnesses a growing integration of robots and automated systems on complex construction sites, project teams exhibit varying definitions of successful robot employment. Notably, there is an absence of standard criteria for stakeholders to assess the impacts of these technologies on productivity, cost, safety, and pertinent human ...
Abstract: We have developed an automated transport system for construction sites, manufacturing plants, and distribution warehouses, such as an automated transport trolley, an automated transport forklift, and a transport management system. It can be instructed by a tablet to make a delivery and it can move autonomously along a given route ...
Abstract: Advancements in automated 3D scene reconstruction are crucial for accurately documenting and sharing knowledge about the current state of the building and infrastructure facilities. Traditional methods of 3D reconstruction involve laser scanning to capture the building's as-built conditions, which is often a tedious and time-consuming process. This study introduces an ...
Abstract: Unmanned Aerial Vehicles (UAVs) have been widely applied for bridge inspection, and significant progress has been made to automate the UAV-enabled inspection process. However, current solutions face two primary challenges: they typically rely on pilots' experience to create a pre-defined flight path for automated image collection, and the potential for ...
Abstract: Overhead cranes, which are traditionally classified as underactuated systems, face a persistent challenge in balancing the assertiveness of trolley movement and the amplitude of the payload oscillation. This difficulty is exacerbated by the cranes inherent double-pendulum characteristics. To improve the operational efficiency and fault tolerance of cranes when lifting large ...
Abstract: 3D concrete has undergone significant development over the last few decades. Yet unreinforced printed elements generally do not comply with existing building standards or regulations and are therefore not used as load-bearing elements. There is still a gap between research and use, and despite several proposals, standard commercial solutions for ...
Abstract: The development of 5G networks is expected to accelerate the realization of Industry 4.0 with its extended capabilities such as network slicing, reduced latency, increased bandwidth and much more. Leveraging these improved network performances, real time machine to machine communication could be realized. Moreover, in situations where human-machine interactions take ...
Abstract: Due to the lack of depth information, using 2D drawings to guide robotic manufacturing is difficult, such as stud welding and drilling. In this paper, a new algorithm, Fast-Pixel-Matching (FPM), is proposed to provide depth information for precise point positioning based on 2D drawings and structured light cameras. Based on ...
Abstract: The construction industry presents very strong challenges such as being an industry where many fatalities occur, and delivery times have a great impact on the cost of the final product. In this context, an area of opportunity was found, which consist of automating the process of grabbing and nailing plywood ...
Abstract: Robotic arms have increasingly been applied to onsite building construction (e.g., bricklaying, welding, and 3D printing). However, engineers should make a great effort to customize different mobile platforms (e.g., quadruped, hexaploid, tracked robot) for robotic arms in the complex ground environment of the construction site. The cable-driven platform under the ...
Abstract: This study describes the development of a system that links construction planning and construction robots for civil engineering and robotics-integrated education programs. In this program, it is possible to learn construction planning and automation using model construction robots. The major issue was that the information in the developed construction plans could not ...
Abstract: We have developed two types of autonomous robots for construction works. One is an autonomous mobile robot composed of two industrial robotic arms for ceiling board construction work. It can attach plasterboard weighing approximately 14 kg to ceiling foundations with tapping screws. The other is also an autonomous mobile robot ...
Abstract: In this paper, we propose a ground mobile robot that can perform both surface mapping and subsurface mapping using a three-dimensional LiDAR Simultaneous Localization and Mapping System (3D LiDAR SLAM system) and a ground penetrating radar (GPR). The robot consists of a mobile platform equipped with a 3D LiDAR sensor ...
Abstract: Modeling the tower crane as a double pendulum dynamic system introduces complexities in control considerations. To tackle this challenge, this paper presents a time-polynomial-based trajectory generation method. This method enables the reconstruction of direct commands and employs high-order fitting to align with various control constraints. The differential solutions of the ...
Abstract: This study examines autonomous earthmoving systems with collaboration among diverse machine types. It focuses on their application in a practical use case involving excavator loading, dumper transport, bulldozer spreading, and roller compacting for road construction. Drawing insights from evaluated systems, the research addresses implementation considerations such as the degree of ...
Abstract: As the key to intelligent construction, construction robots can perform complex and dangerous tasks instead of workers. Construction robot path planning (CRPP) is a prerequisite for executing tasks. However, dynamic environments and moving workers at sites create significant difficulties for CRPP. To solve this issue, this research proposes a construction ...
Abstract: This study investigates factors affecting construction productivity in unmanned construction, a method developed in Japan for safely conducting recovery operations post-disaster using remotely operated machinery. Despite its widespread adoption, unmanned construction is typically less efficient than conventional methods. This research aims to identify and quantify the causes of this reduced ...
Abstract: Construction progress monitoring is a crucial aspect of project management, ensuring project completion on time, within budget, and meeting quality standards. Current data collection and processing methods are time-consuming and labor-intensive, and modern technologies, including robots and computer vision, offer a potential solution to this challenge. While past research has ...
Abstract: The integration of robotics, automation and digital technologies into construction processes offers opportunities for increased efficiency, adaptability and sustainability. However, a comprehensive integration of these technologies is still missing. This paper proposes an integrated systems approach using collaborative construction robotics, a modular construction container and an advanced tasks application connected to ...
Abstract: This study presents the development and application of a construction site layout planning (CSLP) system, emphasizing the importance of efficient, safe, and cost-effective planning in construction management. Recognizing the limitations of current algorithmic and simulation-based approaches, this research advocates for a CSLP system that prioritizes communication speed, ease of use, ...
Abstract: Emissions from machinery that is primarily fueled by Diesel represent a significant environmental concern in the construction sector. Traditional monitoring methods, including both Simplified and Portable Emissions Measurement Systems (SEMS and PEMS, respectively) encounter practical and financial constraints when deployed extensively across the diverse machinery types. This paper introduces a ...
Abstract: Off-site construction (OSC) is gaining significant attention due to its promising benefits, including reduced time, cost, and waste, along with improved quality, productivity, and safety. However, the dynamic nature of the production process (i.e., non-typical process time) introduces challenges in OSC production line, such as: (i) bottlenecks: (ii) workstation idle ...
Abstract: Low-code is an emerging technology allowing subject experts with no information technology background to develop their own digital solutions to operational challenges. Low-code has shown potential to support digitalization in different business scenarios. Nevertheless, there is a lack of scientific literature exploring how this technology could be leveraged in the ...
Abstract: The applications of deep learning-based robust surveillance are vital for improving safety at construction sites, with closed-circuit television (CCTV) systems serving as a pivotal tool in achieving this goal. Despite the recent progress in state-of-the-art deep learning models, the task of hazard identification remains a persistent difficulty due to the ...
Abstract: This study embarks on an in-depth exploration of the integration of automation in premanufacturing within the construction industry, with a specific focus on contrasting the perspectives and adoption strategies in Iran and North America. Utilizing a two-mode network analysis, the research explores the complex interplay between various roles within the ...
Abstract: Current project development financial modeling approaches have been utilized for traditional stick-built construction. This paper presents a novel system dynamics simulation model to analyze the financial dynamics of modular offsite building projects. The model captures the complex interactions between construction activities and cash flows, allowing for the evaluation of various ...
Abstract: This paper delves into the complexities of integrated supply chain planning decisions and project management in the construction industry, specifically about multi-skill, resource-constrained, and multi-project scheduling problems. To address this issue, we propose a mathematical mixed-integer linear programming (MILP) model that optimizes schedules for multiple projects involving different activities, renewable ...
Abstract: While general contractors often use tablets to review design and construction information, subcontractors typically rely on paper-based methods. Each of these methods has its own set of advantages and challenges. The AR-QR code approach aims to bridge the gap between paper-based and digital methods, leveraging the power of Augmented Reality ...
Abstract: Game engine technology has been studied extensively lately in offsite construction (OSC) research due to its ability to develop virtual reality (VR) environments that can be used in the decision-making process prior to the actual project implementation. However, accessing these VR scenes typically requires the participant to be in a ...
Abstract: This paper explores the integration of Large Language Models (LLMs), specifically GPT-4, in fire safety planning and knowledge-based systems within the Architecture, Engineering, and Construction industry. Focusing on overcoming challenges in expert systems, it presents an AI-in-the-loop model, illustrating how LLMs enhance decision support. The paper introduces a scenario analysis ...
Abstract: This study investigates the transformative impact of Artificial Intelligence (AI) in Germany's construction industry. Through a comprehensive survey and interviews with 94 industry professionals, the research explores current AI adoption rates, challenges, and future potential. As the construction sector stands at the brink of digital revolution, the paper uncovers nuanced ...
Abstract: In the evolving landscape of global markets and technical rationalisation, the digitalisation of tools, machines and construction processes requires communication technologies that enable fast, stable and wireless data exchange on construction sites. The search for suitable network technologies that offer a wide range of options designed to meet specific needs ...
Abstract: This paper investigates technological solutions for safe tower crane operation. Initially, to understand the severity of the problem a background research is done to investigate the impact of unsafe tower crane operation on human lives and the key factors that lead to accidents. The paper recognises human-related error as the ...
Abstract: After a slowdown in growth following COVID-19, the global engineering, procurement, and construction (EPC) market has been recovering and experiencing sustained growth since 2021. Nevertheless, the profit margins in the global EPC plant industry continue to decline. This study proposes the earned schedule-delay liquidated damages (ES-DLD) model that integrates the ...
Abstract: Supply chain challenges in the construction industry often lead to cost and time overruns, making it imperative to enhance supply chain management. To offer a tool to construction decision-makers, this study investigates the impact of Integrated Supply Chain Platforms (ISCP) on construction project management in the context of Nordic European ...
Abstract: Ensuring workers safety at construction sites is complicated as protective measures often involve the tasks of planning, monitoring, and mitigation at the same time. Despite traditional methods during the pre-construction and construction phases that require time-consuming and manual efforts, poor risk assessment and situational awareness can easily lead to unplanned mishaps ...
Abstract: In the construction industry, managing cost data represents a major challenge. One of the main issues is the inaccurate cost estimation of a project. This study, based on an innovative approach, standardizes and restructures unit cost items defining a new cost ontology starting from fundamental resources (materials, labor, and equipment) ...
Abstract: Advanced Work Packaging (AWP) offers a structured methodology to improve construction project outcomes through planning alignment and work packaging. However, AWP implementation itself encounters obstacles related to information security, access controls, and supply chain optimization. As an emerging technology with innate capabilities around decentralization, security, and transparency, blockchain holds promise ...
Abstract: Many studies consider excessive fatigue as one of the reasons for accidents among construction workers, especially in special hazardous work environments such as working at heights, heavy physical labor, and confined spaces. Unfortunately, due to factors such as complex environments, unstable equipment, and frequent movement of workers, there is little ...
Abstract: In the construction industry, diverse safety training styles, such as verbal instructions, pictorial representations, radio-based, video, Virtual Reality (VR), and Augmented Reality (AR) training, have been employed to improve workers' hazard recognition. However, the impact of these varied training styles on mental workload has been understudied. This research aims to ...
Abstract: Our research presents a cutting-edge solution for enhancing safety in construction sites: the Smart Helmet-based Wearable Personnel Proximity Warning System, specifically designed to prevent collisions & zone-based alerts in hazardous areas. Through the use of Bluetooth beacons strategically placed on heavy machinery and hazardous areas, the system communicates with a ...
Abstract: Traditional construction management practices often suffer from inefficiencies and waste, leading to increased costs and project delays. Lean Construction (LC), by emphasizing waste reduction and customer value prioritization, has emerged as an effective construction management system. In recent years, efficiency enhancement approaches such as Lean are being further augmented by ...
Abstract: Despite current digital transformation attempts, productivity in the construction industry has remained stagnant for decades. Construction organizations generate vast amounts of data from their day-to-day operations. However, these valuable digital footprints frequently remain underutilized and isolated in different IS (Information Systems). To tackle this issue, process mining, a novel and ...
Abstract: The construction industry struggles with safety risk assessment complexities due to evolving work environments, diverse labor forces, time constraints, regulatory intricacies, and inconsistent practices. While previous studies have highlighted the potential of Artificial Intelligence (AI) in automating processes and enhancing safety assessment, a gap exist in convergence between human analyst ...
Abstract: Project managers in the construction industry confront challenges in managing inventories and executing projects within the scheduled time frame. In this research, a mathematical model is given for applying the Lagrange method and linear programming (LP) to tackle the time-cost and storage-related difficulties that arise in the construction project. The ...
Abstract: In concrete structure projects, activities such as drawing, fabrication, and assembly related to the reinforcement substantially impact the schedules and costs. It is necessary to apply building information modeling (BIM) to smoothly share and distribute information regarding reinforcement among the diverse range of suppliers to streamline work. This study aims to ...
Abstract: Manual material handling in the workplace is a leading cause of musculoskeletal disorders among workers and a key driver of workers compensation costs. As such, the primary objectives of this study are to assess the impact of manual material handling on both the time spent manually handling materials and the ...
Abstract: In the construction industry, information is considered to be the lifeblood of modern construction projects. As a data-dependent industry, information retrieval and technological innovations are essential for optimizing construction performance. Currently, the construction industry is witnessing a rapid adoption of new technologies and innovations. Existing research highlights the positive impact ...
Abstract: The Info screen development is part of wider research project where automated data collection of site operations and processing the data for provision of role-specific and contextualized information to targeted professions to fulfil the predicted information needs are being studied. The specific objective of the research work reported in this ...
Abstract: Recent data from the Federal Highway Administration highlights an alarming increase in fatal crashes in roadway work zones, underscoring the need for enhanced worker safety measures. This study addresses this concern by evaluating stress levels among roadway workers exposed to multi-sensory AR-assisted warnings during varying work intensities, using a high-fidelity ...
Abstract: Occupational accidents in the European Union continue to pose a significant threat to construction workers, with skill-based errors contributing substantially to these incidents. Virtual training gains prominence in improving skills, but evaluating trainee performance based on safety behavior is challenging to quantify. This paper introduces a pioneering worker-centric simulation that ...
Abstract: Workers in the construction industry are exposed to the risk factors of high forces, repetitive tasks, and awkward postures, and consequently suffer from work-related musculoskeletal disorders (WMSDs). Occupational exoskeletons (OEs) are promising interventions to reduce WMSD rates in the construction trades. Previous work has evaluated the efficacy of OEs in ...
Abstract: Given the severity and magnitude of accidents caused by excavators all over the world, the training of excavator operators plays an important role in ensuring the safety of construction operations. New training modes, such as Virtual Reality-based (VR) training simulators, have started to transform training in the construction industry. Although ...
Abstract: Emerging economies are ill-prepared to deal with population aging. Uncontrollable events such as the COVID-19 pandemic and regional conflicts have exacerbated the plight of older adults. The consequent development of smart aging offers endless possibilities for improving the quality of life and health of older adults. In this paper, the ...
Abstract: The construction industry has the highest number of accidents compared to other sectors of the economy. Minimising the risk of accidents requires compliance with safety standards and constant monitoring by re-sponsible persons. The use of robots for high-risk work can increase safety and prevent accidents on construction sites. On the ...
Abstract: Virtual reality (VR) technology has proven to be a valuable tool for exploring human behaviors during construction disasters. Enhancing VR systems with multisensory devices can amplify participants' immersive experiences and emotional response to emergency events. The potential of thermal and scent feedback to intensify negative emotions and immersion in virtual ...
Abstract: Humanitys evolution toward an interplanetary species poses a new frontier for the construction industry: extraterrestrial construction. With fast technological advancements in manufacturing and robotics, it is a matter of when, not if, before humans make perpetual habitats on nearby planetary bodies. We envision the emerging frontier of the construction industry ...
Abstract: The worlds population is rapidly aging. According to the United Nations, nearly 10% of the worlds population is over 65 years old. The aging population crisis is arguably one of the most pressing challenges to the future well-being of humanity. The kitchen is an essential place for human activities, and ...
Abstract: In post-disaster scenarios where on-site operations are unfeasible, remote operation of robots or drones by human operators presents an effective and promising solution for survey and search-and-rescue missions. This method necessitates rapid processing of extensive visual data and allocating attention to multiple details of dynamic, complex, and perilous environments. Analysis ...
Abstract: Digital Twin (DT) has been proposed in the construction sector as the evolution of static Building Information Modeling (BIM) by enabling seamless data flow between physical and digital environments. This paper presents an integrated framework that conceptualizes DT in construction projects as a socio-technical system. This framework aims to ...
Abstract: Human-robot interaction (HRI) is expected to play an important role in the construction industry in the coming decades. However, construction workers face new safety challenges that stem from both external environmental risks and individual internal risks in the HRI environment. Therefore, this study aims to identify safety risk factors related ...
Abstract: The sustainability of building infrastructure has been a growing critical global concern. However, stakeholders often overlook the sustainability aspect of systems in their everyday lives. This paper presents an exploration of the potential of augmented reality (AR) technology as a tool for enhancing public engagement around sustainable systems in buildings. ...
Abstract: The construction industry is witnessing an increasing adoption of virtual reality (VR) technology for training and education purposes. Given this trend, it becomes essential to critically investigate the impact it has on learners, especially when compared to traditional paper-based learning method. In this paper, the authors developed a close-to-reality virtual ...
Abstract: Work-related Musculoskeletal Disorders (WMSDs) are one of the prominent challenges facing the construction industry, and their effective management requires a risk-quantification strategy. A comprehensive method to assess WMSDs for the construction sector is the Rapid Entire Body Assessment (REBA). The conventional risk-quantification frameworks relying on manual analysis of postures and ...
Abstract: Construction workers frequently engage in manual operations at workplaces, increasing their ergonomic risks of developing Work-Related Musculoskeletal Disorders (WMSDs). To proactively assess and prevent such risks, ergonomic scales have been widely employed, incorporated cutting-edge technologies to achieve advancements in automation. However, these scales have demonstrated limited accuracy in risk identification, ...
Abstract: Human-robot teaming (HRT) has emerged as a pivotal research area in the construction industry, focusing on collaborative efforts between humans and robots for enhanced productivity and safety. This study delves into the dynamics of HRT within the immersive context of virtual reality (VR) learning environments. The research integrates established theories, ...
Abstract: Humans and Artificial Intelligence (AI) may have observation and interpretation conflicts in collaborative interaction. The adversarial samples make such conflicts more likely to occur in the field of image recognition. However, few studies have been seen combining the human-AI conflict and adversarial attack. This study presents the interpretation conflict due ...
Abstract: While the Architecture, Engineering, and Construction (AEC) industry is increasingly aware of the rising demands for productivity and human-centered construction improvements, the holistic adoption of robotics as a fundamental strategy to address these challenges has not yet reached comprehensive fruition. This paper therefore introduces a methodological framework aiming to address ...
Abstract: This paper investigates the accurate prediction of the maximum force in fiber-reinforced composites using the CatBoost machine learning algorithm. The study incorporates the Shapley additive explanations technique to enhance interpretability, revealing the significance of the impact of each variable on the output at both local and global scales. The research ...
Abstract: Reinforced concrete (RC) is commonly used in modern building construction. Steel reinforcement (or rebar) design and fabrication are important tasks for the construction of RC buildings. However, these processes are currently conducted semi-automatic, requiring large human effort and processing time. Besides, there is a lack of efficient approach for progress ...
Abstract: Roadside vegetation poses a significant risk to road safety, often contributing to traffic accidents by obstructing drivers' views and impeding visibility. This study investigates existing control methods, assesses their limitations, defines technology-agnostic information requirements for vegetation control, and proposes a Digital Twin-based solution. The methodology involves expert interviews, a literature ...
Abstract: Urban sewer systems are vital yet often neglected components of modern infrastructure system. Inspecting these systems is expensive due to labour costs and the need for manual examination by professionals. In addition to the challenges posed by traditional methods, developing deep-learning-based automatic defect detection models requires a vast number of ...
Abstract: Best practice for the detection and annotation of visible defects in slated roofs is by annotation of photos, ideally orthophotos. If such a process is to be effectively automated in support of emerging Digital Twinning solutions, it is necessary to first recognise the external sub-components of the roof in the ...
Abstract: In the rapidly evolving field of artificial intelligence (AI), synthetic data generation has become increasingly crucial, particularly in domains where real-world data is scarce, expensive, or sensitive. In this study, we introduce BCGen, a novel image realism enhancement pipeline that integrates our proprietary synthetic construction data generation and autonomous labeling ...
Abstract: This study merges artificial intelligence (AI) image recognition technology with Building Information Modeling (BIM), to develop a prototype system for the automation and visualization of construction site progress control. Our focus is the strategic deployment of multiple construction site surveillance cameras using a BIM model to encompass the entirety of ...
Abstract: Pavement crack tracking in unstructured road environments stands as a crucial and ongoing challenge, playing a pivotal role in ensuring precise crack sealing for automated pavement repair. However, slender cracks often present issues with insufficient feature extraction and reduced tracking efficiency. This article proposes a dynamic visual tracking method for ...
Abstract: In this study, we introduce a detailed physics-based particle system for simulation of the shotcrete process. The development of this framework concept is informed by an extensive literature review encompassing diverse modeling and simulation methodologies applied to shotcreting processes, coupled with insights derived from experimental studies on shotcrete. This method ...
Abstract: Historic buildings face multi-faceted fire risks that threaten their conservation. A comprehensive fire risk assessment is essential to prevent fires and protect cultural heritage. Conventional practices rely on surveys and site visits, which are inefficient in capturing up-to-date information digitally and analyzing the risk levels quantitatively. This paper proposes a ...
Abstract: The classification of concrete damage in bridges poses challenges, characterized by time-consuming, hazardous, and often subjective inspection methods. Recognizing the need for efficient damage identification and the creation of 3D models for maintenance purposes, this paper introduces an innovative approach to the inspection of reinforced concrete bridges. The proposed methodology ...
Abstract: The maintenance of power lines is challenged by the encroachment of vegetation, posing significant risks to the reliability and safety of power utilities. Traditional methods, based on manual inspection, are not only resource-intensive but also lack the necessary precision for effective and proactive maintenance. This paper aims to develop an ...
Abstract: Mobile factories promise an increased project efficiency with on-demand production and Just-in-Time delivery of prefabricated elements. However, traditional scheduling methods predominantly focus on either factory or site and neglect the factory mobility, often leading to suboptimal synchronization. To address this gap, this paper introduces a novel reinforcement learning (RL)-based model ...
Abstract: Valuable information is embedded in construction images which can be used for different construction engineering and management purposes. The availability of low-cost cameras and robust artificial intelligence methods has increased the use of imaging technology in construction sites. However, these rich data sources are not often used to their full ...
Abstract: Digital Twins (DT) represent a technology that provides a way to encompass useful information of built assets for the sake of productivity enhancement in the AECO sector. Its adoption in the industry is still at early developmental stages. Significant strides have been made in establishing frameworks and workflows for effective ...
Abstract: This study introduces an innovative method for enhancing digital modeling accuracy in construction site monitoring by integrating UAV imaging with advanced machine learning and computer vision algorithms. It focuses on removing temporary elements like construction machinery from images. The method involves two steps: first, using deep learning algorithms, for instance, ...
Abstract: PPE items, including hardhats, hooks, harnesses, and straps, are critical for fall prevention. Ongoing research in construction safety has focused on using deep learning models to detect Personal Protective Equipment (PPE) worn by high-altitude workers. Despite efforts using computer vision-based models for safety monitoring, small object detection, such as hooks ...
Abstract: With increasingly complex construction projects, improving inspection efficiency and accuracy is an important challenge. This paper proposes a novel MR-based construction inspection framework that integrates BIM, MR, and AI technologies to achieve automatic and passive inspection tasks. The framework comprises object detection, 2D to 3D projection, and digital twin-based object recognition and ...
Abstract: The accurate segmentation of tile peeling on building facades holds considerable significance for effective building maintenance, particularly in regions like Taiwan, where tiles are the predominant facade protection. This research introduces YOLOM, a novel deep-learning-based segmentation model designed to address this challenge. YOLOM harnesses the capabilities of You Only Look ...
Abstract: In recent years, there has been a growing interest in automated indoor construction progress monitoring (ICPM) to maximize precision and reduce human intervention. Computer vision approaches, especially based on deep learning (DL) methods, have shown great potential in this task. However, training DL models require large-scale datasets, which are often ...
Abstract: Manual excavator activity monitoring to evaluate their performance and productivity is laborious, time-consuming, and error-prone. To address these problems, many automated computer vision-based frameworks have been developed for the detection of excavators and the classification of their activities. Most of the current methods consist of several separately optimized modules that ...
Abstract: Digital Twin (DT) has been widely adopted in construction and infrastructure projects to focus on the management and control of physical systems and assets responsively to meet the requirements of the users. When integrating immersion functions with the digital and wireless transformation models, the DT applications can further allow users ...
Abstract: Conceptual cost estimation plays an important role in construction projects since it is the basis for stakeholders to produce financial plans (e.g., establishing project budgets). The current practice, heavily dependent on cost engineers' subjective judgment and manual work, tends to be error-prone and labor-intensive. In response, this paper introduces a ...
Abstract: Construction projects significantly contribute to a nations economic development. However, the sector is synonymous with delays and disputes for various reasons, often due to non-productive work practices. Researchers and practitioners recommend applying lean construction principles to mitigate non-value addition activities and improve productivity and performance. However, existing contract forms may ...
Abstract: This article introduces an innovative approach to assessing and enhancing Building Information Modeling (BIM) skills using Digital Process Automation (DPA) and Robotic Process Automation (RPA). Aimed at university BIM courses, the study addresses the challenge of evaluating students' modelling proficiency. The autodidactic teaching concept utilizes a Bizagi-based work portal, offering ...
Abstract: In the United States, the flatness and levelness of concrete floors during construction is traditionally specified by a maximum allowable gap under a 3 meter straightedge. However, the straightedge method is inexact and rarely representative of the entire floor since the technician is free to choose any location on the ...
Abstract: Over the past few years, research has focused on leveraging computer vision in construction progress monitoring, particularly in comparing construction photologs to Building Information Modeling (BIM), with or without schedule data. The practical application of these techniques and a large number of startups that have brought hyper AI and human-in-the-loop ...
Abstract: Due to the dynamic aspect of construction sites, constant implementation and removal of safety equipment is a required practice. This leads to frequent manual and time-consuming inspections to make sure the safety measures are in place. There is the potential to automate the inspection process using robots and Deep Learning. ...
Abstract: The rule requirements of a building code are frequently violated to create financially viable designs. These deviations are subjected to condonation by the municipal commissioner if recognizable hardships are faced. The historical concession applications for similar cases are stored in an unstructured manner, creating a barrier to knowledge transfer. The ...
Abstract: Physics-based simulations play a crucial role in the design and development of autonomous construction equipment. Currently, a key challenge in these simulations is the time-intensive task of preparing construction equipment models that accurately represent both the equipment's geometry and physics. Manual model creation for simulations becomes particularly laborious due to ...
Abstract: This paper introduces a novel approach to crane path planning on construction sites through the utilization of Reinforcement Learning (RL) and Virtual Reality (VR) simulations. The strategy includes a comprehensive simulation model that incorporates an agent, actions, states, environment, and a reward system. After undergoing extensive training across millions of ...
Abstract: Temporary materials are stored in construction warehouses after and before they are used in construction sites. Most of these materials are made of steel tubular sections such as square, circular, and rectangular sections. However, due to frequent reuse and their storage conditions they become subject to defects such as rust ...
Abstract: The adoption of autonomous systems is a foreseeable necessity in the construction sector due to work hazards and labor shortages. This paper presents a semantic 3D understanding module that creates 3D models of construction sites with highlighted regions of interest for shotcrete application. The approach uses YOLOv8m-seg and SiamMask for ...
Abstract: In the context of real-time data acquisition and processing, dealing with missing data (MD) is a common challenge that can compromise the quality and effectiveness of machine learning (ML) algorithms. Previous research focuses on creating a real-time safety monitoring system that predicts safety conditions in scaffolds by analyzing strain measurements ...
Abstract: Digital Twin (DT) is a virtual replica that mirrors physical objects, systems, or entities. In the construction sector, DTs play a crucial role in building management, optimizing energy usage, predicting maintenance, and enhancing building lifecycle management. Although effectively integrated into traditional construction practices, its application in the prefabricated construction (PC) ...
Abstract: Digital Twins have emerged as a transformative solution enabling organizations across sectors to digitally replicate physical assets and processes to extract operational insights. Implementing Digital Twin systems involves diverse stakeholders, ranging from providers to end-user developers and adopters. At the crux of Digital Twin implementation lies the need of Digital ...
Abstract: Ground Penetrating Radar (GPR), known for its applications in diverse domains, demonstrates potential for non-destructive diagnostic assessments on building rooftops. This study delves into the unique characteristics and data structure of GPR, investigating the novel approach of processing GPR as a "contextual neighborhood" of A-scans within their respective B-scans as ...
Abstract: Every year, accidental damage during excavation leads to numerous disruptions in utility services. These incidents cause not only financial losses but also injuries and fatalities. A major contributing factor is the lack of accurate location data for these utilities of such incidents. The current practice involves a time-consuming coordination process ...
Abstract: The accurate detection of soil boundary levels is vitally important for creating the correct solutions for the earthwork phases of construction. In Building Information Modeling (BIM), subsoil models are interpolated from information obtained from ground investigations. Our study focused on the adaptive use of geological uncertainty modeling to derive additional ...
Abstract: Formwork accessory planning plays an important role in fastening and supporting the formwork panels for construction safety. This research aims to improve the automation of formwork accessory planning of a BIM-based aluminum formwork layout planning system currently developed at the National Taiwan University for automating the layout planning of formwork ...
Abstract: This paper proposes a 3D digital-twin system for remote-control operation in construction. Prevalent remote operation using multiple cameras cannot eliminate blind spots completely due to the limitation of the number of installable cameras. Thus, to ensure various remote operations can be performed safely, the 3D digital-twin system applying is developed. ...
Abstract: Pipe spools are key components in industrial projects. Usually, they're built off-site in a fabrication shop, then shipped to the project location for installation. The fabrication shop deals with numerous spools, each tailored to specific requirements according to shop drawings. These specific requirements together with other factors, such as lead ...
Abstract: The construction industry is witnessing a transformative shift with the integration of advanced technologies, especially in the topic of 3D segmentation. This study underscores the current state and challenges of 3D segmentation, with special emphasis on construction research, and provides an insightful understanding of the latest research developments and trends. ...
Abstract: Large-scale 3D printing using concrete is a promising technology in the construction industry. In recent years, with the introduction of new commercial products and some real-world building projects, 3D concrete printing is moving from experimental and lab-scale applications towards regular construction operations in the field. In this paper, a solution ...
Abstract: Accurate localization plays a crucial role in the effective operation of autonomous robotics systems, especially in dynamic environments such as construction sites. Simultaneous Localization and Mapping (SLAM) utilizing LiDAR sensors has emerged as a popular solution due to its ability to function without external infrastructure. However, existing algorithms exhibit significant ...
Abstract: Concrete 3D printing is a digital fabrication technology that has the potential to increase the level of automation in construction. However, getting consistent output quality is a challenge in concrete 3D printing because of the change in material properties with time and the influence of environmental parameters. A robust quality ...
Abstract: In the context of the increasing expansion and complexity of civil engineering projects, construction inspection plays a crucial role in ensuring project quality and safety. The traditional construction inspection report writing process mainly relies on the manual records of on-site inspectors. This process is not only time-consuming but also easily ...
Abstract: In the construction industry, due to workers frequently engaging in highly physically demanding tasks and using various tools, workers are often exposed to ergonomic risks and safety hazards. Various observation-based traditional or computer vision-based artificial intelligence methods have been applied in the field of construction to assess ergonomic risks. However, ...
Abstract: The transition from a linear economy (take-make-dispose) to a circular economy in the construction industry (i.e., circularity in construction) necessitates adopting deconstruction instead of demolition. Deconstruction planning methods need to be investigated to facilitate this transition. Successful deconstruction planning requires considering various information to capture the destiny of the extracted ...
Abstract: Infra Built Environment Information Modeling (infraBIM) enables efficient and accurate planning, construction, and maintenance of complex infrastructure systems. InfraBIM has spread worldwide and is used in various countries for infrastructure projects. InfraBIM experts are essential to take full advantage of the benefits of digital information modeling. The goal of the article ...
Abstract: Modular construction represents a significant advancement in the architectural, engineering, and construction (AEC) domain, bolstering productivity by integrating factory-based manufacturing and efficient assembly techniques. This study presents a holistic approach, merging Building Information Modelling (BIM) with technological automation interoperability, to facilitate seamless prefabrication and automatic monitoring within modular construction projects. ...
Abstract: This paper discusses the current methods of Scan-to-BIM, a process which allows creating a digital representation of existing buildings for a planning methodology called Building Information Modeling (BIM). The study covers all stages of the process, from point cloud generation and pre-processing to BIM modeling and formatting. We review the ...
Abstract: The transition towards a circular economy will, in large part, necessitate the disassembly and recovery of components from existing building stock. Robotic disassembly has emerged as a technique in other (non-building) industries as a method for efficient and scalable resource recovery. Since robotic disassembly has yet to achieve a similar ...
Abstract: 48% of total energy consumption in Europe is used in buildings and homes. These are therefore accountable for 35% of Europe's total CO2 emissions. To solve this problem in a sustainable way, the building stock would have to be thermally refurbished further. Currently, the annual thermal refurbishment rate is only 1% ...
Abstract: In modern construction sites, tower cranes play a crucial role but often rely on multiple human operators. Despite the advancements of the Construction 4.0 era, a comprehensive framework for automated tower crane operations is currently lacking. This study proposes a framework that integrates a real-scaled construction site and tower crane ...
Abstract: The aging of buildings is a global concern, with potential risks to human safety and property. Building inspection and maintenance are crucial for ensuring structural integrity and safety. However, traditional manual methods are time-consuming and pose safety risks, especially for exterior inspection at height. Robotics offer a promising alternative to ...
Abstract: Recent decades have seen remarkable progress in the field of robotic-assisted construction. Cable-driven parallel robots (CDPRs) emerge as promising tools for automating construction processes, due to their advantageous features such as scalability, reconfigurability, compact design, and high payload-to-weight ratio. This paper uses a simple static model to determine the feasibility ...
Abstract: This study focuses on developing a data-system integration platform tailored for the construction phase. It employs application programming interfaces (APIs) and a range of sensor devices to enhance construction management practices. The platform is crafted to cater to various requirements while maintaining scalability, utilizing a microservice architecture to facilitate seamless ...
Abstract: The occurrence of defects during the building construction process significantly impacts housing quality. One such defect, the distortion of a building's framework, affects both sustainability and aesthetics. This study presents an automated technique for inspecting framework distortion in building construction by measuring the angles between walls. The proposed method employs ...
Abstract: Monitoring fatigue is challenging under computer-vision-based action recognition due to the changes in motion patterns caused by fatigue. Particularly in the construction scenario, the motion patterns are unique per trade and longer than daily life actions, causing challenging scenarios. This paper aims to understand the patterns that can guide the ...
Abstract: Regular inspections, effective management, and timely maintenance are critical issues to ensure bridge safety and quality. Currently, visual inspection remains the predominant method employed worldwide for bridge inspection. However, visual inspection heavily relies on the training, experience, and subjective judgment of inspectors, leading to inconsistent assessments. When applying deep learning ...
Abstract: Freeway work zones with lane closures can cause traffic disruption and congestion with increased travel time, safety risks, and emissions. Variable speed limit (VSL) control has been widely studied to mitigate the negative impacts of work zone lane closures. To ensure effective VSL control, accurate detection of traffic conditions is ...
Abstract: Recently, vision-language research has gained significant interest by successfully connecting visual concepts to natural language, advancing computer vision-based construction monitoring using a wide variety of text queries. While vision language models demonstrate high capability, performance degradation can be expected when adapting the model to the ever-changing construction scenarios. In contrast ...
Abstract: As machinery assumes a critical role in modern construction, particularly in Singapores development initiatives, maintaining excavators becomes paramount. Despite the prevalence of faults within this equipment, the scarcity of skilled mechanics compounds the challenge of timely diagnoses and maintenance. Leveraging deep learning methodologies, this research endeavors to analyze audio signals ...
Abstract: Maintaining energy performance of ageing building stock has become a global priority towards a more environmentally sustainable future in the age of climate change. Unmanned Aerial Vehicle (UAV) equipped with thermal camera is increasingly used for building inspection. However, scant attention has been paid to the satisfactory image acquisition strategy ...
Abstract: The monitoring of construction progress is crucial for ensuring project timelines, budget adherence, and quality control. Traditional methods often involve manual inspection, which is labor-intensive and prone to human error. We introduce NeRF-Con, an innovative approach utilizing Neural Radiance Fields (NeRF) to automate the process of construction progress monitoring. NeRF-Con ...
Abstract: Construction projects rely on several technologies for progress monitoring of projects. Among these technologies, Computer Vision (CV) based technologies are gaining popularity as they enable direct acquisition of physical site data. There are numerous devices available using vision-based technologies. Several studies have attempted to compare these technologies to identify appropriateness ...
Abstract: The integration of measurement systems and sensors is critical to advancing construction automation processes and aligning digital models with physical production realities. However, incorporating field measurement and inspection tools into digital fabrication is challenging due to the dynamic nature of construction sites. While point cloud sensors have been widely used ...
Abstract: The quality inspection of adhesive of Exterior Insulation Finishing System (EIFS) is important because poor adhesive can lead to detachment of the insulation. Computer vision-based inspection stands out as a notable alternative. Recently, imaged-based deep learning model are widely used for the automated monitoring and inspection in construction field. To ...
Abstract: Processes on construction sites are characterized by a high proportion of manual work, rapid variability and harsh working conditions. As a result, the level of digitalization and automation as well as productivity is low. In the near future, digital assistance and documentation systems will be used to counteract these shortcomings. ...
Abstract: This study aims to compare between onsite and offsite construction 3D printing (C3DP). For this purpose, the Systematic Literature Review approach (SLR) was employed. The review which was based on studying 48 sources identified six categories to classify the motives and barriers for the two C3DP techniques; cost, transportation, design ...
Abstract: Buildings are responsible for a huge amount of negative environmental impacts at the End-of-Life (EoL) stage because of the massive global production of waste. Therefore, there is an urgent need for developing design systems to decrease waste generation by facilitating the reuse and recycling of building materials. Building Information Modeling ...
Abstract: Construction robotics, regarded as a key trigger to reshape the traditional construction industry, has continuously emerged. Although various construction robot prototypes have been developed, only some of them are widely adopted for on-site practices. To improve users acceptance of this novel technology, this research aims to investigate customers satisfaction levels ...
Abstract: Modular construction (MC) shifts labour-intensive site-based activities to an off-site controlled environment through prefabrication, and is deemed an innovative approach for industry transformation. To maximise the benefits of MC, there is a need to predict the demand volume and supply capacity to inform proactive and strategic supply chain planning and ...
Abstract: The United Nations has set the 2030 Agenda for Sustainable Development for the society, the environment and the economy with the 17 Sustainable Development Goals (SDGs). Countries act in collaborative partnership to take transformative steps to shift industries and society onto a sustainable and resilient path. Among all, digital transformation ...
Abstract: Artificial intelligence is set to transform the mining and construction industries by providing greater insights that will eventually create a safer, more productive, and reliable environment. However, integrating autonomous technology and equipment in the field is still a complex task that necessitates a detailed safety study, analysis, identification, and mitigation ...
Abstract: The construction industry is looking at automation and robotization to enhance productivity and reduce the safety risks of various tasks during the construction, operations and maintenance (O&M) phase. In that context, human-robot interaction (HRI) and human-robot collaboration (HRC) are highly relevant. Although those terms are different, there is some misconception, ...
Abstract: Construction 3D printing (3DP) has the potential to be cost-effective compared to traditional construction, due to its shorter supply chain and higher level of automation. However, there is a lack of comprehensive studies comparing the costs of traditional construction and 3DP across various stages, from design to waste disposal. Therefore, ...
Abstract: This paper presents the application of the information contained in exchange standards to predict indicators of design quality for concrete-in-place reinforced concrete (CIP RC) structures early in the design process. A logistic regression model is applied to each node type of a frame structure: beam-column, slab-column, beam-slab, and beam-beam. All ...
Abstract: Amidst the increasing adoption of three-dimensional printing (3DP) in the architecture, engineering, and construction (AEC) industry, there exists a notable research gap concerning the quantification of its environmental impact. More importantly, there is a lack of a generic framework that can be employed for different material types and methods. Therefore, ...
Abstract: The European Parliament released the 2030 Digital Compass, identifying the construction sector as one of the five key ecosystems in the digital transformation process. A Construction 4.0 maturity model (C4M) was created to lead companies through their digital transformation journey. This research aimed to justify the model categories of the ...
Abstract: The exponential growth in both three-dimensional printing (3DP) and cybersecurity (CS) poses a significant challenge for the change-resistant architecture engineering and construction (AEC) industry. Despite growing research related to any of these fields combined, there is a research gap associated with their combination, particularly with themes and topics in conjunction ...
Abstract: This paper is inspired by the concept of Analogizing. It explores the analogies between a concept from the Construction industry (Automated Project Performance Control APPC) and a concept in Education (Organizational Learning Analytics OLA). The APPC model deals with automating data collection and conversion from on-site construction projects ...
Abstract: In the field of building renovation with prefabricated modules, accurately locating and identifying connectors' positions and orientations is an essential technological challenge. For building renovation with prefabricated modules, traditional methods like total stations are not only time-consuming but also highly dependent on experienced technicians. However, previous research has proven that ...
Abstract: This paper introduces a methodology utilizing image generation AI to create 3D floor plan images for Korean-style apartments. The growing interest in spatial dynamics, driven by changes in residential preferences, has elevated the importance of widespread comprehension and the demand for floor plans. Specifically, apartment floor plans, crucial for commercial ...
Abstract: Facing a labor shortage, the civil construction industry is increasingly focused on automating machinery. The Public Works Research Institute in Japan has introduced 'OPERA,' an open development platform, to encourage stakeholder participation in areas like IT, robotics, and AI. Key to OPERA is its open-source software for model-based autonomous construction. ...
Abstract: Despite construction robots being developed in the construction discipline, they are not widely deployed in the industry and field yet. One reason is the complex robot control interfaces and programming methods, which pose challenges for construction workers to learn and use. A robot simulator, RoBIM, has been designed to address ...
Abstract: The Construction RX Consortium was established to promote increased productivity and attractiveness of the Japanese construction industry as a whole. The Construction RX Consortium has established 12 subcommittees and stimulates various technology developments for mutual utilization. The automatic material delivery system subcommittee developed an automated transport system. The project is ...
Abstract: UAVs have immense potential in construction applications. This paper gives a overview of a project that aims to expand the frontier of applications of UAVs from non-contact measurements to physically interact with buildings by sticking targets on the building. The goal of the project is to apply positioning tags onto ...
Abstract: In order to estimate the strength of concrete members such as bridge piers and tunnel walls easily at the actual site, we developed a small-diameter abrasive drill and proposed a method to estimate the strength of concrete from the change in drilling speed. In drilling with a 5 mm-diameter drill, the ...
Abstract: The transition towards openBIM solutions has been receiving an increasing amount of attention in the built asset industry. This shift is principally driven by the adoption of open standards and services, aiming to promote a more collaborative, interoperable, and transparent digital workflow. This paper highlights openBIM adoption across various jurisdictions, ...
Abstract: With the rapid advancement of digitization, a multitude of tools for as-built modeling has emerged, posing a challenge in choosing the most suitable product. This article presents an evaluation system for identifying and selecting a site scanning method to create a digital twin of existing buildings. The evaluation criteria developed ...