[HTML][HTML] Advancements in 3D digital model generation for digital twins in industrial environments: Knowledge gaps and future directions
Digital twins are considered a transformative paradigm for industrial environments, providing
a dynamic, digital, and intelligent representation of industrial assets. The necessity of digital …
a dynamic, digital, and intelligent representation of industrial assets. The necessity of digital …
[HTML][HTML] Enriching BIM models with fire safety equipment using keypoint-based symbol detection in escape plans
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 …
with Fire Safety Equipment (FSE) components can be used to complete compliance checks …
[HTML][HTML] Make it till you fake it: Construction-centric computational framework for simultaneous image synthetization and multimodal labeling
This paper introduces BlendCon, a fully automated framework capable of simultaneously
synthesizing and labeling construction imagery data. This framework simulates a …
synthesizing and labeling construction imagery data. This framework simulates a …
[HTML][HTML] Reconstructing as-built beam bridge geometry from construction drawings using deep learning-based symbol pose estimation
Efficient maintenance planning and streamlined inspection for bridges are essential to
prevent catastrophic structural failures. Digital Bridge Management Systems (BMS) have the …
prevent catastrophic structural failures. Digital Bridge Management Systems (BMS) have the …
[PDF][PDF] Development of a Maturity Model for the Digital transformation of companies in the context of Construction Industry 4.0
JI Jäkel, F Fischerkeller, T Oberhoff… - Journal of Information …, 2024 - itcon.org
The construction industry is characterized by a low level of productivity and digitalization, as
well as the critical perceived instability of costs, deadlines and quality. One way to address …
well as the critical perceived instability of costs, deadlines and quality. One way to address …
Kangba Region of Sichuan based on swin transformer visual model research on the identification of facades of ethnic buildings
Y Zhang, B Wang, J Li - Scientific Reports, 2024 - nature.com
The protection and restoration of existing buildings requires accurate acquisition of the
characteristics of the building facade. The complex, diverse, and irregular distribution …
characteristics of the building facade. The complex, diverse, and irregular distribution …
Semantic floorplan segmentation using self-constructing graph networks
This article presents an approach for the automatic semantic segmentation of floorplan
images, predicting room boundaries (walls, doors, windows) and semantic labels of room …
images, predicting room boundaries (walls, doors, windows) and semantic labels of room …
Symbol Detection in Mechanical Engineering Sketches: Experimental Study on Principle Sketches with Synthetic Data Generation and Deep Learning.
S Bickel, S Goetz, S Wartzack - Applied Sciences (2076 …, 2024 - search.ebscohost.com
Digital transformation is omnipresent in our daily lives and its impact is noticeable through
new technologies, like smart devices, AI-Chatbots or the changing work environment. This …
new technologies, like smart devices, AI-Chatbots or the changing work environment. This …
M-DETR: Multi-scale DETR for Optical Music Recognition
F Luo, Y Dai, J Fuentes, W Ding, X Zhang - Expert Systems with …, 2024 - Elsevier
Abstract Optical Music Recognition (OMR) is an important way to digitize score images and
has broad application prospects in fields such as the storage of music documents, music …
has broad application prospects in fields such as the storage of music documents, music …
Automated fire risk assessment and mitigation in building blueprints using computer vision and deep generative models
Building fire risks pose significant threats to individual safety and bear substantial economic
consequences. Consequently, developing effective automated fire risk assessment and …
consequences. Consequently, developing effective automated fire risk assessment and …