Space Plan Generator: Rapid Generationn &amp; Evaluation of Floor Plan Design Options to Inform Decision Making

Das, Subhajit; Day, Colin; Hauck, John; Haymaker, John; Davis, Diana

doi:10.52842/conf.acadia.2016.106

Cited by 5 publications

(7 citation statements)

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“…Likewise, the generation framework needs various design data for an accurate generation. EASE (Dino, 2016) and SPG (Das et al, 2016) are likely to create wrong designs if design constraints are not sufficiently considered with various design data. Wu et al (2019) and Hu et al (2020) reduced this weakness through learning from actual floor plans.…”

Section: Resultsmentioning

confidence: 99%

“…To support spatial designers, floor plan generation research has been conducted. EASE (Dino, 2016) and SPG (Das et al, 2016) are systems that set design constraints with design data, such as the room's width, height, center point, number, and size. They generate a floor plan design with quantified design data and optimize it through a genetic algorithm.…”

Section: Floor Plan Retrievalmentioning

confidence: 99%

“…These two systems retrieve designs by calculating the similarity of floor plan design data. On the other side, EASE (Dino, 2016), SPG (Das et al, 2016), and Graph2Plan (Hu et al, 2020) generate new floor plan designs through a genetic algorithm and convolutional neural networks (CNNs). These systems use quantified design data as a design constraint when generating new floor plans.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Framework for Multivariate Data based Floor Plan Retrieval and Generation

Son

Hyun²

2021

CAADRIA Proceedings

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Section: Resultsmentioning

confidence: 99%

Section: Floor Plan Retrievalmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Framework for Multivariate Data based Floor Plan Retrieval and Generation

Son

Hyun²

2021

CAADRIA Proceedings

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“…Das et al. [DDH*16] use k‐d structures for interior space division, where each division has a ratio and is marked as vertical or horizontal. Marson and Musse [MM10] (Figure 4) use squarified treemaps for generating interiors with an even ratio of width and length.…”

Section: Existing Procedural Modelling Methodsmentioning

confidence: 99%

A Survey of Procedural Modelling Methods for Layout Generation of Virtual Scenes

Cogo,

Krupalija,

Prazina

et al. 2023

Computer Graphics Forum

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As virtual worlds continue to rise in popularity, so do the expectations of users for the content of virtual scenes. Virtual worlds must be large in scope and offer enough freedom of movement to keep the audience occupied at all times. For content creators, it is difficult to keep up by manually producing the surrounding content. Therefore, the application of procedural modelling techniques is required. Virtual worlds often mimic the real world, which is composed of organized and connected outdoor and indoor layouts. It is expected that all content is present on the virtual scene and that a user can navigate streets, enter buildings, and interact with furniture within a single virtual world. While there are many procedural methods for generating different layout types, they mostly focus only on one layout type, whereas complete scene generation is greatly underrepresented. This paper aims to identify the coverage of layout types by different methods because similar issues exist for the generation of content of different layout types. When creating a new method for layout generation, it is important to know if the results of existing methods can be appended to other methods. This paper presents a survey of existing procedural modelling methods, which were organized into five categories based on the core approach: pure subdivision, grammar‐based, data‐driven, optimization, and simulation. Information about the covered layout types, the possibility of user interaction during the generation process, and the input and output shape types of the generated content is provided for each surveyed method. The input and output shape types of the generated content can be useful to identify which methods can continue the generation by using the output of other methods as their input. It was concluded that all surveyed methods work for only a few different layout types simultaneously. Moreover, only 35% of the surveyed methods offer interaction with the user after completing the initial process of space generation. Most existing approaches do not perform transformations of shape types. A significant number of methods use the irregular shape type as input and generate the same shape type as the output, which is sufficient for coverage of all layout types when generating a complete virtual world.

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“…Recently, researchers have been using optimization techniques to optimize various contexts in building design, from lighting layouts [23], furniture [35,37], building layouts [7,9], to urban networks [5,20,24]. With the global impact of COVID-19 [26] forcing new policies of maintaining distance [36] and the economic impacts of complete lockdowns [6], it has become of great interest the ability to balance the number of people in a space with maximal distance.…”

Section: Related Workmentioning

confidence: 99%

Optimizing Indoor Navigation Policies For Spatial Distancing

Zhang¹,

Schwartz²,

Usman³

et al. 2022

Preprint

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The ability for occupants to shop, relax, or work is facilitated by not only the objects in the space but the arrangement and movement patterns allowed. In this regard, we consider one type of affordance in a space; the ability to maintain distance between occupants while navigating and interacting with the environment. In this paper, we focus on the modification of policies that can lead to movement patterns and directional guidance of occupants, which are represented as agents in a 3D simulation engine. Considering an environment can dictate -or even mandate -the directional movement of the occupants, we demonstrate an optimization method that improves a spatial distancing metric by modifying the navigation graph. To achieve this, we introduce a measure of spatial distancing of agents as a function of agent density (i.e., occupancy). Our optimization framework utilizes such metrics as the target function, using a hybrid approach of combining genetic algorithm and simulated annealing. We show that within our framework, the simulation-optimization process can help to improve spatial distancing between agents by optimizing the navigation policies for a given indoor environment.

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Space Plan Generator: Rapid Generationn & Evaluation of Floor Plan Design Options to Inform Decision Making

Cited by 5 publications

References 0 publications

A Framework for Multivariate Data based Floor Plan Retrieval and Generation

A Framework for Multivariate Data based Floor Plan Retrieval and Generation

A Survey of Procedural Modelling Methods for Layout Generation of Virtual Scenes

Optimizing Indoor Navigation Policies For Spatial Distancing

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