Spatial layout planning in architecture requires a deep understanding of topological spatial
relationships, yet the process remains repetitive and laborious for designers. However …

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 addresses the problem of converting a rasterized floorplan image into a vector-
graphics representation. Unlike existing approaches that rely on a sequence of low-level …

The division of floor plans or navigation maps into single rooms or similarly meaningful
semantic units is central to numerous tasks in robotics such as topological map** …

This paper introduces a method for analyzing floor plan images using wall segmentation,
object detection, and optical character recognition. We introduce a challenging new real …

Recognition and reconstruction of residential floor plan drawings are important and
challenging in design, decoration, and architectural remodeling fields. An automatic …

The overall energy efficiency of existing buildings has to be significantly improved to comply
with emerging regulations and to contribute to overcoming current environmental …

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 …

Abstract 3D digital modeling, Building Information Modeling (BIM) and numerical simulation
are widely recognized as essential components of building design support tools, but require …

Ageing buildings have become a significant concern for many cities, exacerbated by
inadequate management and maintenance of Mechanical, Electrical, and Plumbing (MEP) …