Posts by Collection

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.
Download paper here

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.
Download paper here

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.
Download paper here

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.
Download paper here

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.
Download paper here

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
Download paper here

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