Smart Passive Mixed Reality-Based Construction Inspection Framework

Boan Tao*, Jiajun Li, Frédéric Bosché

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

With increasingly complex construction projects, improving inspection efficiency and accuracy is an important challenge. This paper proposes a novel MR-based construction inspection framework that integrates BIM, MR, and AI technologies to achieve automatic and passive inspection tasks. The framework comprises object detection, 2D to 3D projection, and digital twin-based object recognition and MR-based visualisation to provide an efficient inspection process. The framework is evaluated in an indoor construction environment with common elements like electrical sockets and switches as a typical example to validate our approach in real-world applications.
Original languageEnglish
Title of host publicationProceedings of the 41st International Symposium on Automation and Robotics in Construction (ISARC)
PublisherInternational Association for Automation and Robotics in Construction (IAARC)
Pages776-783
ISBN (Electronic)978-0-6458322-1-1
DOIs
Publication statusPublished - 27 May 2024

Publication series

NameProceedings of the International Symposium on Automation and Robotics in Construction
PublisherInternational Association for Automation and Robotics in Construction (IAARC)
ISSN (Electronic)2413-5844

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