TY - GEN
T1 - Smart Passive Mixed Reality-Based Construction Inspection Framework
AU - Tao, Boan
AU - Li, Jiajun
AU - Bosché, Frédéric
PY - 2024/5/27
Y1 - 2024/5/27
N2 - 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.
AB - 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.
U2 - 10.22260/ISARC2024/0101
DO - 10.22260/ISARC2024/0101
M3 - Conference contribution
T3 - Proceedings of the International Symposium on Automation and Robotics in Construction
SP - 776
EP - 783
BT - Proceedings of the 41st International Symposium on Automation and Robotics in Construction (ISARC)
PB - International Association for Automation and Robotics in Construction (IAARC)
ER -