Work

Automated Room Graph Extraction From Architectural Floor Plan Based on Distance and Visibility

Year: 2026

Type: article

Abstract: In this paper, we introduce a unified framework for automatic room segmentation and graph extraction from floor plans. We sample random points within the activity space and cluster them using obstacle-aware travel distances and visibility to form initial room regions, then apply a linear mapping to infer inter-room relationships. Tested on the RPLAN dataset and representative spatial layouts, our method achieves high accuracy and produces visually intuitive room segmentations. Our method can facilitate large-scale plan comparison and retrieval, support spatial analytics, and assist computer-aided architectural design.

Source: Journal of Architecture and Planning (Transactions of AIJ)

DOI: 10.3130/aija.91.1534

Authors: Wenhao ZHAO, Takatoshi ARAI, Hiroto YAMAGUCHI, Shouta TABATA, Ai KUBOTA, Kentaro HONMA, Kotaro IMAI

Institution: The University of Tokyo

Language: English

Topic: Urban Design and Spatial Analysis

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: bronze

OpenAlex ID: W7162944609

FWCI:

Cites:

Cited by:

Related to: