Proactive struck-by risk detection with movement patterns and randomness

Dong, Chao; Li, Heng; Luo, Xiaochun; Ding, Lieyun; Siebert, Joanna; Luo, Hanbin

doi:10.1016/j.autcon.2018.03.021

Cited by 19 publications

(8 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With reference to the context of South Africa, the study also suggests that CSM could benefit from increased exploitation of technology. findings are supported by historical and recent literature such as Kim et al (2013), Lin et al (2014), han and golparvarfard (2015), Akhavian and Behzadan (2016), hwanga and Leeb (2017), Awolusia, Marksb andhallowell (2017), fang et al (2018) and Dong et al (2018).…”

Section: Discussionsupporting

confidence: 84%

Process Need Areas and Technology Adoption in Construction Site Management

Ozumba¹,

Ojiako²,

Shakantu³

et al. 2019

JCDC

View full text Add to dashboard Cite

The study explores the areas of process need in construction site management and technology utilisation to address those needs within the construction industry. An exploratory case study was used, with a focus on process need areas that could be impacted by technology infusion. Results highlight the impact of human limitations on management performance and poor utilisation of available relevant technology in the presence of managerial lapses. Inherent limitations of case study strategy were experienced in the form of number of cases and achieving uniformity of features. Nevertheless, the cases provided rich cross-validating data. The article provides empirical insights about the possibility of construction site management benefiting from increased exploitation of technology to address management shortcomings. The article highlights the need to understand individual projects in terms of site management process needs and opportunities in recent information and communication technology (ICT) to address such need areas, by linking potential utility in technology to lapses in the management process of construction sites. The study provides a baseline understanding of relevant concepts of ICT adoption in site management. While considerable interest exists regarding technology use in construction, studies explicitly contextualised within process need areas in site management and with management-centred view remain sparse.

show abstract

Section: Discussionsupporting

confidence: 84%

Process Need Areas and Technology Adoption in Construction Site Management

Ozumba¹,

Ojiako²,

Shakantu³

et al. 2019

JCDC

View full text Add to dashboard Cite

show abstract

“…Results highlighted the need for process improvements in CSM, the limitations and inefficiencies in CSM, and the benefits of ICT for CSM. Findings are supported in extant literature such as [56,57].…”

Section: Referencesupporting

confidence: 80%

Adaptation: A Lens for Viewing Technology Transfer in Construction Site Management

Ozumba¹,

Shakantu²

2020

Product Design

View full text Add to dashboard Cite

This book chapter presents the results from a series of studies which explored the use of the technology transfer (TT) subconcept of adaptation to explain the uptake of recent information and communication technologies (ICT) in the construction industry. The specific focus is the management of construction site processes. The studies explored the need for management process enhancement, availability of relevant information and communication technologies, occurrence of such technologies in construction site management (CSM), influencing factors, and challenges to their adoption in construction site management. Results from stages in the phased methodology are used to generate certain hypotheses that are based on analysis of primary and secondary data. Insights from testing the hypotheses and findings from the series of studies are used to model an adaptation-based understanding of the transfer of information and communication technologies in construction site management. While using site management as the specific focus, the study contributes an understanding that is relevant to the construction industry and other project-related environments.

show abstract

“…If the discrete-time linear stochastic dynamic system described by Equation ( 14) is assumed to be w k ∼ N(0, Q k ) and v k ∼ N(0, R k ) independent processes, independent of each other, and independent of the initial state x 0 ∼ N(x 0 , P 0 ), then the basic Kalman filtering formulas of Formulas (19) to (24) are valid for any situation loss function. By taking Formula (13) as the state equation of the discrete time linear stochastic dynamic system described by Formula (17), the movement trajectory of construction workers can be predicted according to Formula (20), and the error of the predicted position is Formula ( 21).…”

Section: Kalman Filteringmentioning

confidence: 99%

“…Weerasinghe and Ruwanpura [18] set up an AMOT (automatic multi-target tracking system) to monitor the on-site workers and equipment while analyzing both audio and video. Dong et al [19] proposed a proactive struck-by risk detection method for workers proximal to the laydown area to enhance construction site safety, but the implementation of this method is dependent on tag-based tracking technology. Luo et al [12] came up with a hierarchical statistical method for capturing and understanding workers' high-level activities in far-field surveillance videos but creating data sets to train the TSNs is indispensable and expensive when new workers' actions are introduced.…”

Section: Introductionmentioning

confidence: 99%

Multi-Angle Fusion-Based Safety Status Analysis of Construction Workers

Deng

2021

IJERPH

View full text Add to dashboard Cite

Hazardous accidents often happen in construction sites and bring fatal consequences, and therefore safety management has been a certain dilemma to construction managers for long time. Although computer vision technology has been used on construction sites to identify construction workers and track their movement trajectories for safety management, the detection effect is often influenced by limited coverage of single cameras and occlusion. A multi-angle fusion method applying SURF feature algorithm is proposed to coalesce the information processed by improved GMM (Gaussian Mixed Model) and HOG + SVM (Histogram of Oriented Gradient and Support Vector Machines), identifying the obscured workers and achieving a better detection effect with larger coverage. Workers are tracked in real-time, with their movement trajectory estimated by utilizing Kalman filters and safety status analyzed to offer a prior warning signal. Experimental studies are conducted for validation of the proposed framework for workers’ detection and trajectories estimation, whose result indicates that the framework is able to detect workers and predict their movement trajectories for safety forewarning.

show abstract

Proactive struck-by risk detection with movement patterns and randomness

Cited by 19 publications

References 24 publications

Process Need Areas and Technology Adoption in Construction Site Management

Process Need Areas and Technology Adoption in Construction Site Management

Adaptation: A Lens for Viewing Technology Transfer in Construction Site Management

Multi-Angle Fusion-Based Safety Status Analysis of Construction Workers

Contact Info

Product

Resources

About