Due to recent advances in machine learning, there has been an explosive development of
multiple methodologies that automatically extract information from architectural floor plans …

This paper presents a review of deep learning on engineering drawings and diagrams.
These are typically complex diagrams, that contain a large number of different shapes, such …

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 …

This papers focuses on symbol spotting on real-world digital architectural floor plans with a
deep learning (DL)-based framework. Traditional on-the-fly symbol spotting methods are …

Understanding 2D computer-aided design (CAD) drawings plays a crucial role for creating
3D prototypes in architecture, engineering and construction (AEC) industries. The task of …

Abstract Indoor Floor Plans (IFPs) are crucial in many fields, such as architectural design,
BIM generation, indoor navigation, as well as reliability analysis and safety assessment in …

Convolutional and adversarial networks are found in various fields of knowledge and
activities. One such field is building design, a multi-disciplinary and multi-task process …

Interior design is the core step of interior decoration, and it determines the overall layout and
style of furniture. Traditional interior design is usually laborious and time‐consuming work …

In interior space planning, the furnishing stage usually entails manual iterative processes,
including meeting design objectives, incorporating professional input, and optimizing design …

Architectural floor plans are essential documents for conveying building information among
designers, engineers, and clients. Automated analysis of floor plans enhances user …