[HTML][HTML] Automating the retrospective generation of As-is BIM models using machine learning

P Schönfelder, A Aziz, B Faltin, M König - Automation in Construction, 2023 - Elsevier
The manual creation of digital models of existing buildings for operations and maintenance
is difficult and time-consuming. Machine learning and deep learning techniques have …

Construction and maintenance of building geometric digital twins: state of the art review

V Drobnyi, Z Hu, Y Fathy, I Brilakis - Sensors, 2023 - mdpi.com
Most of the buildings that exist today were built based on 2D drawings. Building information
models that represent design-stage product information have become prevalent in the …

BIM-enabled Kanban system in construction logistics for real-time demand reporting and pull replenishment

N Zeng, X Ye, Y Liu, M König - Engineering, Construction and …, 2024 - emerald.com
Purpose The unstable labor productivity and periodic planning method cause barriers to
improving construction logistics management. This paper aims to explore a demand-driven …

Hybrid self-supervised learning-based architecture for construction progress monitoring

VK Reja, S Goyal, K Varghese, B Ravindran… - Automation in …, 2024 - Elsevier
Automating construction progress monitoring is essential for the timely completion of
projects. Computer vision-based construction progress monitoring (CV-CPM) stands out as …

Image-based 3D reconstruction for Multi-Scale civil and infrastructure Projects: A review from 2012 to 2022 with new perspective from deep learning methods

Y Lu, S Wang, S Fan, J Lu, P Li, P Tang - Advanced Engineering …, 2024 - Elsevier
As a bridge between physical objects and as-built models, image-based 3D reconstruction
performs a vital role by generating point cloud models, mesh models, textured models, and …

UAV-based bridge geometric shape measurement using automatic bridge component detection and distributed multi-view reconstruction

Y Xu, J Zhang - Automation in Construction, 2022 - Elsevier
UAV cameras combined with image-based reconstruction are promising non-contact tools
for bridge shape inspection while computational efficiency is low, particularly on large-scale …

[HTML][HTML] Connectivity detection for automatic construction of building geometric digital twins

V Drobnyi, S Li, I Brilakis - Automation in Construction, 2024 - Elsevier
Existing buildings' geometry digitisation using Point Cloud Datasets is important. This is
evident given the lack of digital as-designed models for older buildings, which can serve as …

Quantification of structural defects using pixel level spatial information from photogrammetry

Y Guo, X Shen, J Linke, Z Wang, K Barati - Sensors, 2023 - mdpi.com
Aging infrastructure has drawn increased attention globally, as its collapse would be
destructive economically and socially. Precise quantification of minor defects is essential for …

Scan4Façade: Automated as-is façade modeling of historic high-rise buildings using drones and AI

Y Jiang, S Han, Y Bai - Journal of Architectural Engineering, 2022 - ascelibrary.org
This paper presents an automated as-is façade modeling method for existing and historic
high-rise buildings, named Scan4Façade. To begin with, a camera drone with a spiral path …

Digitization of Existing Buildings with Arbitrary Shaped Spaces from Point Clouds

V Drobnyi, S Li, I Brilakis - Journal of Computing in Civil …, 2024 - ascelibrary.org
Digital twins for buildings can significantly reduce building operation costs. However,
existing methods for constructing geometric digital twins fail to model the complex geometry …