Autocompletion of Floor Plans for the Early Design Phases in Architecture: Foundations, Existing Methods and Research Outlook

Viktor Eisenstadt; Jessica Bielski; Burak Mete; Christoph Langenhan; Klaus-Dieter Althoff; Andreas Dengel

Autocompletion of Floor Plans for the Early Design Phases in Architecture: Foundations, Existing Methods and Research Outlook

Viktor Eisenstadt, Jessica Bielski, Burak Mete, Christoph Langenhan, Klaus-Dieter Althoff, Andreas Dengel

Chair of Architectural Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper contributes the current research state and possible future developments of AI-based autocompletion of architectural floor plans and shows demand for its establishment in computer-aided architectural design to facilitate decent work, economic growth through accelerating the design process to meet the future workload. Foundations of data representations together with the autocompletion contexts are defined, existing methods described and evaluated in the integrated literature review, and criteria for qualitative and sustainable autocompletion are proposed. Subsequently, we contribute three unique deep learning-based autocompletion methods currently in development for the research project metis-II. They are described in detail from a technical point of view on the backdrop of how they adhere to the proposed criteria for creating our novel AI.

Original language	English
Title of host publication	International Conference of the Association for Computer-Aided Architectural Design Research in Asia
Publisher	The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)
Volume	1
State	Published - 1 Apr 2022

Publication series

Name	CAADRIA
Publisher	Association for Computer-Aided Architectural Design Research in Asia

Keywords

Artificial Intelligence
Architectural Design
Floor Plan
Autocompletion
SDG 8
SDG 9

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

Eisenstadt, V., Bielski, J., Mete, B., Langenhan, C., Althoff, K.-D., & Dengel, A. (2022). Autocompletion of Floor Plans for the Early Design Phases in Architecture: Foundations, Existing Methods and Research Outlook. In International Conference of the Association for Computer-Aided Architectural Design Research in Asia (Vol. 1). (CAADRIA). The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA).

Eisenstadt, Viktor ; Bielski, Jessica ; Mete, Burak et al. / Autocompletion of Floor Plans for the Early Design Phases in Architecture: Foundations, Existing Methods and Research Outlook. International Conference of the Association for Computer-Aided Architectural Design Research in Asia. Vol. 1 The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), 2022. (CAADRIA).

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title = "Autocompletion of Floor Plans for the Early Design Phases in Architecture: Foundations, Existing Methods and Research Outlook",

abstract = "This paper contributes the current research state and possible future developments of AI-based autocompletion of architectural floor plans and shows demand for its establishment in computer-aided architectural design to facilitate decent work, economic growth through accelerating the design process to meet the future workload. Foundations of data representations together with the autocompletion contexts are defined, existing methods described and evaluated in the integrated literature review, and criteria for qualitative and sustainable autocompletion are proposed. Subsequently, we contribute three unique deep learning-based autocompletion methods currently in development for the research project metis-II. They are described in detail from a technical point of view on the backdrop of how they adhere to the proposed criteria for creating our novel AI.",

keywords = "Artificial Intelligence, Architectural Design, Floor Plan, Autocompletion, SDG 8, SDG 9",

author = "Viktor Eisenstadt and Jessica Bielski and Burak Mete and Christoph Langenhan and Klaus-Dieter Althoff and Andreas Dengel",

year = "2022",

month = apr,

day = "1",

language = "English",

volume = "1",

series = "CAADRIA",

publisher = "The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)",

booktitle = "International Conference of the Association for Computer-Aided Architectural Design Research in Asia",

}

Eisenstadt, V, Bielski, J, Mete, B, Langenhan, C, Althoff, K-D & Dengel, A 2022, Autocompletion of Floor Plans for the Early Design Phases in Architecture: Foundations, Existing Methods and Research Outlook. in International Conference of the Association for Computer-Aided Architectural Design Research in Asia. vol. 1, CAADRIA, The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA).

Autocompletion of Floor Plans for the Early Design Phases in Architecture: Foundations, Existing Methods and Research Outlook. / Eisenstadt, Viktor; Bielski, Jessica; Mete, Burak et al.
International Conference of the Association for Computer-Aided Architectural Design Research in Asia. Vol. 1 The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), 2022. (CAADRIA).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Autocompletion of Floor Plans for the Early Design Phases in Architecture: Foundations, Existing Methods and Research Outlook

AU - Eisenstadt, Viktor

AU - Bielski, Jessica

AU - Mete, Burak

AU - Langenhan, Christoph

AU - Althoff, Klaus-Dieter

AU - Dengel, Andreas

PY - 2022/4/1

Y1 - 2022/4/1

N2 - This paper contributes the current research state and possible future developments of AI-based autocompletion of architectural floor plans and shows demand for its establishment in computer-aided architectural design to facilitate decent work, economic growth through accelerating the design process to meet the future workload. Foundations of data representations together with the autocompletion contexts are defined, existing methods described and evaluated in the integrated literature review, and criteria for qualitative and sustainable autocompletion are proposed. Subsequently, we contribute three unique deep learning-based autocompletion methods currently in development for the research project metis-II. They are described in detail from a technical point of view on the backdrop of how they adhere to the proposed criteria for creating our novel AI.

AB - This paper contributes the current research state and possible future developments of AI-based autocompletion of architectural floor plans and shows demand for its establishment in computer-aided architectural design to facilitate decent work, economic growth through accelerating the design process to meet the future workload. Foundations of data representations together with the autocompletion contexts are defined, existing methods described and evaluated in the integrated literature review, and criteria for qualitative and sustainable autocompletion are proposed. Subsequently, we contribute three unique deep learning-based autocompletion methods currently in development for the research project metis-II. They are described in detail from a technical point of view on the backdrop of how they adhere to the proposed criteria for creating our novel AI.

KW - Artificial Intelligence

KW - Architectural Design

KW - Floor Plan

KW - Autocompletion

KW - SDG 8

KW - SDG 9

M3 - Conference contribution

VL - 1

T3 - CAADRIA

BT - International Conference of the Association for Computer-Aided Architectural Design Research in Asia

PB - The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)

ER -

Eisenstadt V, Bielski J, Mete B, Langenhan C, Althoff KD, Dengel A. Autocompletion of Floor Plans for the Early Design Phases in Architecture: Foundations, Existing Methods and Research Outlook. In International Conference of the Association for Computer-Aided Architectural Design Research in Asia. Vol. 1. The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA). 2022. (CAADRIA).

Autocompletion of Floor Plans for the Early Design Phases in Architecture: Foundations, Existing Methods and Research Outlook

Abstract

Publication series

Keywords

UN SDGs

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Cite this