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Adopting a Digital Twin Framework for Autonomous Machine Operation at Construction Sites

Publication Type:

Conference/Workshop Paper


The 7th CAA International Conference on Vehicular Control and Intelligence


Autonomous machines are expected to be vastly used at construction sites as they can efficiently perform repetitive and dangerous tasks. However, ensuring the operational safety of such autonomous machines in a highly dynamic environment is challenging. Although autonomous machines usually are equipped with a perception system that permits them to navigate locally, there is a need to share a global view of the construction site to reduce the risk of accidents or errors. A digital twin of the construction site map has the potential of fusing the real-time perception from different sources at the site, such as different autonomous machines working at the construction site, analysing them and sharing the needed information to operate safely and effectively at the site. This paper proposes the adoption of the recently published standard, ISO 23247 digital twin framework for manufacturing, to implement and maintain a dynamic map of construction sites. The proposed framework will enable safe and efficient operation of autonomous machines on construction sites.


author = {Philip Wickberg and Anas Fattouh and Sara Afshar and Markus Bohlin},
title = {Adopting a Digital Twin Framework for Autonomous Machine Operation at Construction Sites},
month = {October},
year = {2023},
booktitle = {The 7th CAA International Conference on Vehicular Control and Intelligence},
url = {}