Architectural spatial layout planning using artificial intelligence

J Ko, B Ennemoser, W Yoo, W Yan… - Automation in Construction, 2023 - Elsevier
Spatial layout planning in architecture requires a deep understanding of topological spatial
relationships, yet the process remains repetitive and laborious for designers. However …

Automatic floor plan analysis and recognition

PN Pizarro, N Hitschfeld, I Sipiran… - Automation in …, 2022 - Elsevier
Due to recent advances in machine learning, there has been an explosive development of
multiple methodologies that automatically extract information from architectural floor plans …

Automated fire risk assessment and mitigation in building blueprints using computer vision and deep generative models

D Chen, L Chen, Y Zhang, S Lin, M Ye… - Advanced Engineering …, 2024 - Elsevier
Building fire risks pose significant threats to individual safety and bear substantial economic
consequences. Consequently, develo** effective automated fire risk assessment and …

A robust autonomous navigation and map** system based on GPS and LiDAR data for unconstraint environment

J Patoliya, H Mewada, M Hassaballah, MA Khan… - Earth Science …, 2022 - Springer
For autonomous navigation, three main functions are essential: finding the location, creating
the map**, and getting the optimum path. Since Human operators study the map and …

[HTML][HTML] Automatic classification of hospital settings through artificial intelligence

E Iadanza, G Benincasa, I Ventisette, M Gherardelli - Electronics, 2022 - mdpi.com
Modern hospitals have to meet requirements from national and international institutions in
order to ensure hygiene, quality and organisational standards. Moreover, a hospital must be …

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 …

RISC-Net: rotation invariant siamese convolution network for floor plan image retrieval

A Kalsekar, R Khade, K Jariwala… - Multimedia Tools and …, 2022 - Springer
A floor plan represents the blue print of a building. Organizing a massive set of such floor
plans and accessing them based on similarity is challenging for any architect. During the …

PU learning-based recognition of structural elements in architectural floor plans

I Evangelou, M Savelonas, G Papaioannou - Multimedia Tools and …, 2021 - Springer
This work introduces a computational method for the recognition of structural elements in
architectural floor plans. The proposed method requires minimal user interaction and is …

[PDF][PDF] Automatic room type classification using machine learning for two-dimensional residential building plans

X Zhao, TH Wang, C Peng - Legal Depot D/2022/14982, 2022 - researchgate.net
Building plan semantic retrieval is of interest in every stage of construction and facility
management processes. A conceptual design model with a space layout can be used for the …

Flexnet: Learning deep features using autoencoders for floor plan image retrieval

R Khade, A Kalsekar, K Jariwala… - 2023 IEEE Guwahati …, 2023 - ieeexplore.ieee.org
Content-based retrieval of scanned document images is gaining research. A system that
automatically analyses and retrieves similar floor plan images depending on user needs …