Automatic floor plan analysis and recognition
Due to recent advances in machine learning, there has been an explosive development of
multiple methodologies that automatically extract information from architectural floor plans …
multiple methodologies that automatically extract information from architectural floor plans …
Interoperability between deep neural networks and 3d architectural modeling software: Affordances of detection and segmentation
Building owners are working on converting their legacy documentation 2D floor plans into
digital 3D representations, but the manual process is labor-intensive and time-consuming. In …
digital 3D representations, but the manual process is labor-intensive and time-consuming. In …
Methods and Applications of Space Understanding in Indoor Environment—A Decade Survey
S Pokuciński, D Mrozek - Applied Sciences, 2024 - mdpi.com
The demand for digitizing manufacturing and controlling processes has been steadily
increasing in recent years. Digitization relies on different techniques and equipment, which …
increasing in recent years. Digitization relies on different techniques and equipment, which …
SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments
In this paper, we present SPVLoc, a global indoor localization method that accurately
determines the six-dimensional (6D) camera pose of a query image and requires minimal …
determines the six-dimensional (6D) camera pose of a query image and requires minimal …
Automatic generation of virtual architecture using user activities in metaverse
SY Jang, SA Kim - International Journal of Human-Computer Studies, 2024 - Elsevier
Recently, architectural offices and IT companies have undertaken projects to build and sell
cities in metaverses. However, it is considered inefficient to undertake such construction …
cities in metaverses. However, it is considered inefficient to undertake such construction …
Symbol Detection in Mechanical Engineering Sketches: Experimental Study on Principle Sketches with Synthetic Data Generation and Deep Learning.
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 …
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, develo** effective automated fire risk assessment and …
consequences. Consequently, develo** effective automated fire risk assessment and …
Semantic Enrichment of BIM: The Role of Machine Learning-Based Image Recognition
Building Information Modelling (BIM) revolutionizes the construction industry by digitally
simulating real-world entities through a defined and shared semantic structure. However …
simulating real-world entities through a defined and shared semantic structure. However …
Automatic Reconstruction of 3D Models from 2D Drawings: A State-of-the-Art Review
Among the methods of 3D reconstruction, the automatic generation of 3D models from
building documentation is one of the most accessible and inexpensive. For 30 years …
building documentation is one of the most accessible and inexpensive. For 30 years …
[PDF][PDF] Deep Learning-Based Segmentation and 3D Reconstruction for Heterogeneous Mixed-Use Building Layouts
The ongoing development of Building Information Modeling (BIM) techniques has attracted
increasing attention in architecture and engineering because of its many benefits for design …
increasing attention in architecture and engineering because of its many benefits for design …