PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 3, 2026Journal of Architecture and Planning (Transactions of AIJ)Open Access

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

View Full Paper
Ask AI
Bookmark
Share

Authors

WZWenhao ZhaoTATakatoshi ARAIHYHiroto YAMAGUCHI

Discussion

Loading...

Member takes

Overview

Randomized trial examines room segmentation accuracy in architectural designs, suggesting benefits for spatial analytics.

Key Points

  • The aim is to create a framework for automatic room segmentation and graph extraction from floor plans.
  • Sampled random points within the activity space for segmentation.
  • Clustering was done using obstacle-aware travel distances and visibility.
  • Applied linear mapping to infer inter-room relationships.
  • Achieved high accuracy in room segmentation based on the RPLAN dataset.
  • Produced visually intuitive room segmentations.
  • Facilitated large-scale plan comparison and spatial analytics.

Cite This Study

Zhao et al. (2026) studied this question.

synapsesocial.com/papers/6a1fc3c1dee9eb8c0dce5518https://doi.org/10.3130/aija.91.1534
View Full Paper
Ask AI
Bookmark
Share