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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
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portfolio
publications
Real-time LiDAR for Monitoring Construction Worker Presence Near Hazards and in Work Areas in a Virtual Reality Environment
Published in EG-ICE 2021 Workshop on Intelligent Computing in Engineering, 2021
The paper introduces a smart sensor system to detect worker presence near hazards and in locations tied to productivity. Read more
Recommended citation: Jacobsen, E. L. & Teizer, J. 2021, "Real-time LiDAR for Monitoring Construction Worker Presence Near Hazards and in Work Areas in a Virtual Reality Environment." In:, EG-ICE 2021 Workshop on Intelligent Computing in Engineering: Proceedings. Berlin : Universitätsverlag der TU Berlin, 2021. pp. 592-602.
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Lean Construction in a Serious Game Using a Multiplayer Virtual Reality Environment
Published in Proc. 29th Annual Conference of the International Group for Lean Construction (IGLC), 2021
This paper concerns the use of multiplayer VR games to teach lean construction principles. Read more
Recommended citation: Jacobsen, E. L. , Strange, N. S. & Teizer, J. 2021, "Lean Construction in a Serious Game Using a Multiplayer Virtual Reality Environment." In:, Proc. 29th Annual Conference of the International Group for Lean Construction (IGLC). Lima, Peru, 14-16 Jul 2021. pp. 55-64.
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Active personalized construction safety training using run-time data collection in physical and virtual reality work environments
Published in Construction Innovation, 2021
The paper investigates the possibility of using LiDAR for construction worker training regarding both productivity and safety, and compares it to a VR solution. Read more
Recommended citation: Jacobsen, E. L., Solberg, A., Golovina, O. & Teizer, J. 2022, "Active personalized construction safety training using run-time data collection in physical and virtual reality work environments.", Construction Innovation Vol. 22, No. 3, pp. 531-553.
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Deep Learning in Construction: Review of Applications and Potential Avenues
Published in Journal of Computing in Civil Engineering, 2021
The paper is a review focusing on deep learning for construction research. It introduces numerous fields of research and suggests new avenues to focus on Read more
Recommended citation: Jacobsen, E. L. & Teizer, J. 2022, "Deep Learning in Construction: Review of Applications and Potential Avenues.", Journal of Computing in Civil Engineering Vol. 36, Issue 2.
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Neural Networks in the Construction Industry: Knowledge Gaps and Possibilities
Published in Construction Research Congress 2022, 2022
The paper is an early version of the review focusing on deep learning for construction research. It introduces numerous fields of research and suggests new avenues to focus on Read more
Recommended citation: Jacobsen, E. L. & Teizer, J. 2022, "Neural Networks in the Construction Industry: Knowledge Gaps and Possibilities.", Construction Research Congress 2022, Arlington, Virginia https://doi.org/10.1061/9780784483961.123.
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Automating the Estimation of Productivity Metrics for Construction Workers Using Deep Learning and Kinematics
Published in EG-ICE 2022 Workshop on Intelligent Computing in Engineering, 2022
The paper is the first step towards an automated process of time and motion studies for construction labor productivity monitoring. Read more
Recommended citation: Jacobsen, E. L. & Teizer, J. 2021, "Automating the Estimation of Productivity Metrics for Construction Workers Using Deep Learning and Kinematics" In:, EG-ICE 2022 Workshop on Intelligent Computing in Engineering: Proceedings. Aarhus, Denmark, 2022. pp. 418-427, https://doi.org/10.7146/aul.455.c232
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talks
teaching
Advanced Technologies in Construction
MSc Course, Aarhus University, Department of Civil and Architectural Engineering, 2021
To supply the students with a wide knowledge and prepare them for the use of remote sensing and data processing techniques in construction applications. This implies the ability to create data and develop digital building models, as carriers of project information for data extraction, exchange, and communication. Applications range from automated progress reporting to automation and robotics in construction. Training them in individual hands-on exercises and in team work. Read more
Digital Construction
MSc Course, Aarhus University, Department of Civil and Architectural Engineering, 2021
Skills in digitalizing projects are vital for the next generation of decision makers. This course will introduce the students to the state-of-the-art in digitalizing construction processes and tasks. The objective of the course is to enable students to understand theory and applications for digital processes in construction planning (e.g., modeling, scheduling, and visualization) in a highly interdisciplinary context. Read more