With the rapid development of 3D reconstruction, especially the emergence of algorithms
such as NeRF and 3DGS, 3D reconstruction has become a popular research topic in recent …

Deep learning (DL) on point clouds holds significant potential in the construction industry,
yet no comprehensive review has thoroughly summarized its applications and shortcomings …

In the context of fire safety inspections, Building Information Modeling (BIM) models enriched
with Fire Safety Equipment (FSE) components can be used to complete compliance checks …

The paper presents a novel method for automatically creating semantic digital models for
buildings in Manhattan environments from dense point cloud data. Unlike previous …

Abstract 3D reconstruction plays a pivotal role in capturing the built environment's object
shapes and appearances for diverse smart applications, such as indoor navigation and …

Combined robotic arms and mobile platforms, mobile construction robots (MCRs) are
providing an energizing choice for the digitalization of the building industry. To enhance the …

Deep learning-based point cloud semantic segmentation facilitates scene understanding
and BIM modelling, but its success requires vast amount of labelled point clouds, which is …

Planning scan routes with prior knowledge can improve scan data quality and
completeness. This paper presents a BIM-enabled approach to optimize quadruped robot …

Existing construction activity-monitoring technologies, such as CCTV cameras and IoT
devices, have limitations, such as lack of depth information, 3D measurement errors, or …

In indoor scenes, due to the various semantic categories and scale differences of objects,
the complex spatial structure of objects, and the different reflection characteristics of laser …