Toward AI-enabled augmented reality to enhance the safety of highway work zones: Feasibility, requirements, and challenges

Sabeti, Sepehr; Shoghli, Omidreza; Baharani, Mohammadreza; Tabkhi, Hamed

doi:10.1016/j.aei.2021.101429

Cited by 42 publications

(5 citation statements)

References 141 publications

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“…It was used in one case for risk management on site in a hazard avoidance system (Kim et al , 2017) and in another case for risk registration on site (Park and Kim, 2013). Also, it was implemented for risk management during construction accidents by Tsai (2014) and for on-site risk management by visualization in the works of Su et al (2013) and Sabeti et al (2021). Virtual environments in Park and Kim (2013), Kim et al (2017) and Tsai (2014) were created in Xcode, Android Studio and Google Android Development Toolkits, respectively.…”

Section: Results Of Content Analysismentioning

confidence: 99%

Extended reality (XR) technologies in the construction safety: systematic review and analysis

Zoleykani

Abbasianjahromi

Banihashemi

et al. 2023

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Purpose Extended reality (XR) is an emerging technology, with its popularity rising in different industry sectors, where its application has been recently considered in construction safety. This study aims to investigate the applications of XR technologies in the safety of construction through projects lifecycle perspective. Design/methodology/approach Scientometric analysis was conducted to discover trends, keywords, contribution of countries and publication outlets in the literature. The content analysis was applied to categorize previous studies into three groups concerning the phase of lifecycle in which they used XR. Findings Results of the content analysis showed that the application of XR in the construction safety is mostly covered in two areas, namely, safety training and risk management. It was found that virtual reality was the most used XR tool with most of its application dedicated to safety training in the design phase. The amount of research on the application of augmented reality and mixed reality in safety training, and risk management in all phases of lifecycle is still insignificant. Finally, this study proposed three main areas for using the XR technologies regarding the safety issues in future research, namely, control of safety regulations and safety coordination in construction phase, and safety reports in the operation phase. Originality/value This paper inspected the utilization of all types of XR for safety in each phase of construction lifecycle and proposed future directions for research by addressing the safety challenges in each phase.

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Section: Results Of Content Analysismentioning

confidence: 99%

Extended reality (XR) technologies in the construction safety: systematic review and analysis

Zoleykani

Abbasianjahromi

Banihashemi

et al. 2023

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“…In particular, VR/AR systems have been investigated as training platforms for new employees that can highlight ergonomic issues and reduce accidents [57,58]. At the same time, AR technologies coupled with AI solutions and real-time data analytics can lead to rapid data exchange and prevent actions, minimising occupational risks during operation, maintenance, and complex tasks [59]. Emerging technologies developed and employed as part of "smart factories" have been investigated in the literature to mitigate and prevent occupational risks.…”

Section: Occupational Safety Technologiesmentioning

confidence: 99%

An Overview of Tools and Challenges for Safety Evaluation and Exposure Assessment in Industry 4.0

Damilos,

Saliakas,

Karasavvas

et al. 2024

Applied Sciences

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Airborne pollutants pose a significant threat in the occupational workplace resulting in adverse health effects. Within the Industry 4.0 environment, new systems and technologies have been investigated for risk management and as health and safety smart tools. The use of predictive algorithms via artificial intelligence (AI) and machine learning (ML) tools, real-time data exchange via the Internet of Things (IoT), cloud computing, and digital twin (DT) simulation provide innovative solutions for accident prevention and risk mitigation. Additionally, the use of smart sensors, wearable devices and virtual (VR) and augmented reality (AR) platforms can support the training of employees in safety practices and signal the alarming concentrations of airborne hazards, providing support in designing safety strategies and hazard control options. Current reviews outline the drawbacks and challenges of these technologies, including the elevated stress levels of employees, cyber-security, data handling, and privacy concerns, while highlighting limitations. Future research should focus on the ethics, policies, and regulatory aspects of these technologies. This perspective puts together the advances and challenges of Industry 4.0 innovations in terms of occupational safety and exposure assessment, aiding in understanding the full potential of these technologies and supporting their application in industrial manufacturing environments.

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“…The delay or shortage of information could lead to loss of lives; such are cases for augmented reality and predictive systems that provide notifications for impending danger. [ 105 ]…”

Section: Artificial Intelligence and Machine Learning (Ai/ml)mentioning

confidence: 99%

Statistical methods for design and testing of 3D-printed polymers

et al. 2023

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Different statistical methods are used in various fields to qualify processes and products, especially in emerging technologies like Additive Manufacturing (AM) or 3D printing. Since several statistical methods are being employed to ensure quality production of the 3D-printed parts, an overview of these methods used in 3D printing for different purposes is presented in this paper. The advantages and challenges, to understanding the importance it brings for design and testing optimization of 3D-printed parts are also discussed. The application of different metrology methods is also summarized to guide future researchers in producing dimensionally-accurate and good-quality 3D-printed parts. This review paper shows that the Taguchi Methodology is the commonly-used statistical tool in optimizing mechanical properties of the 3D-printed parts, followed by Weibull Analysis and Factorial Design. In addition, key areas such as Artificial Intelligence (AI), Machine Learning (ML), Finite Element Analysis (FEA), and Simulation require more research for improved 3D-printed part qualities for specific purposes. Future perspectives are also discussed, including other methods that can help further improve the overall quality of the 3D printing process from designing to manufacturing. Graphical abstract

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Toward AI-enabled augmented reality to enhance the safety of highway work zones: Feasibility, requirements, and challenges

Cited by 42 publications

References 141 publications

Extended reality (XR) technologies in the construction safety: systematic review and analysis

Extended reality (XR) technologies in the construction safety: systematic review and analysis

An Overview of Tools and Challenges for Safety Evaluation and Exposure Assessment in Industry 4.0

Statistical methods for design and testing of 3D-printed polymers

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