CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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Hits 1 to 16 of 16

_id acadia23_v2_550
id acadia23_v2_550
authors Zhang, Haotian
year 2023
title Forking Rooms, Fractal Cities: Filmic Experience of Non-3D Space Represented with Point Cloud
source ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 550-559.
summary The paper introduces the technical and architectural methods employed in the experi- ments. The project manipulates point clouds using procedural modeling with the Blender geometry node, constructing spaces that can unfold, morph, and interconnect in relation to time or the spectator's location. It further proposes three spatial prototypes - portal, fractal, and tesseract - each exploring a specific topological condition that challenges a fundamental architectural concept: boundary, scale, and directionality. These prototypes serve as the vocabulary for storytelling and space-making in the production of the films. This work serves as an examination of the medium, expanding the capabilities of point cloud, and identifying potential design opportunities in the creation of virtual environ- ments. By outlining a working method for designers, and offering examples of its spatial and aesthetic qualities through film, the project discusses the possibility of designing non-3D space, and imagines a virtual world with a dynamic spatial structure.
series ACADIA
type paper
email
last changed 2024/12/20 09:13

_id caadria2023_151
id caadria2023_151
authors Zhang, Wei and Hao, Jiaxue
year 2023
title Planting Design Scenario Analysis With 3D Vegetation Models Generated From L-system Algorithm
doi https://doi.org/10.52842/conf.caadria.2023.1.393
source Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 393–402
summary Due to the complex branching structure and enormous details of the plants, it has always been a challenge to simulate the vegetation’s 3D appearance. The currently widely used triangular surface models have multiple limitations in the representation of the tree structure for a large number of trees such as the low performance and low fidelity. As a generative algorithm, the L-system algorithm has been used to rapidly construct different vegetation models based on the branching characteristics and self-similarity of the foliage. In this study, a 160m×160m vegetation area in Qingshan Waterfront Park, Wuhan, China, was selected as the study area to construct a vegetation model based on the L-system algorithm to generate virtual 720° panoramic images. The virtual panoramic images were then compared with the on-site captured panoramic images by semantic segmentation method to verify the accuracy of the constructed parametric vegetation model. We calculated 3D vegetation volume during 3 different plant growth stages in the study area by converting the algorithmic vegetation model into a geometric voxel model. The results showed that the generated virtual panoramic visible green index was similar to the actual panoramic visible green index at the same location with an average difference of about 16% and the mean intersection over union (mIoU) of 50.18%. The 3D vegetation volume in this study area during the initial stage, the growing stage, and the mature stage was 17396m3, 35679m3, and 161007m3, and the 3D vegetation volume per unit area was 0.68 m3, 1.39 m3, and 6.26 m3, respectively.
keywords L-system, 3D vegetation volume, panoramic visible green index, semantic segmentation
series CAADRIA
email
last changed 2023/06/15 23:14

_id cdrf2023_180
id cdrf2023_180
authors Yihan Lu, Zhouyu Zhang, Yaoping Zhang, Li Li
year 2023
title Virtual Reality Architecture Teaching Application Based on Unity Platform—Taking a Small Architect's Metaverse Application as an Example
doi https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_15
source Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary Children's architectural education is mainly built by assembling existing prefabricated blocks. However, most of the existing architectural education projects focus on PC applications, which are important for transforming architecture into practical results. Taking the achievements of the VR architectural knowledge popularization education project as an example, this paper demonstrates the application of the combination of virtual reality technology and architectural education in the future architectural design education for children. The app adds a follow-up connection to reality that is missing from traditional VR experiences. First of all, this application built a virtual reality building on the unity3d platform, controlled vr equipment through the OpenXR library, designed a program to build a house with prefabricated modules in the application, and finally exported the virtual results as DXF files to the laser cutting equipment, and assembled them in reality. It retains the interest and diversity of the virtual meta-universe and can increase the authenticity of the combination of virtual and real life in the education links to improve hands-on ability. This application through the students in a three-dimensional virtual environment to experience the process of building, but it also can use laser printing technology to transform students' learning results into real results in order to realize the application of virtual reality technology in architectural education.
series cdrf
email
last changed 2024/05/29 14:04

_id ecaade2023_112
id ecaade2023_112
authors Aguilera, Andrea V., Zhang, Yu and Shea, Kristina
year 2023
title Mobile Augmented Reality for Aided Manual Assembly of Compressed Earth Block Dwellings
doi https://doi.org/10.52842/conf.ecaade.2023.2.019
source Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 19–28
summary This paper investigates how augmented reality (AR) can instruct and assist in assembling an earthen structure consisting of a limited set of geometrically different interlocking blocks. By adapting a visual-inertial object tracking software, to the assembly process of a mortarless, compressed earth block (CEB) dome, the construction site no longer needs physical templates and manuals. This enables the builders to have real-time tracking with visual feedback to actively adjust according to the optical guidance during the course of assembly. Two identical dome structures are built with the same set of earth blocks, one with AR and one without. The results show that using AR can significantly improve construction efficiency for complex, dry-stacked structures as it acts as assembly guidance and provides insight into the limits of the tracking tolerances. Further, this paper discusses the limitations and challenges and can provide an outlook for further research scaling up the production to construct a habitable dwelling. Starting with just a pile of dirt and a mobile phone, the demonstrator exhibits the compatibility of local, sustainable materials and digital, efficient processes.
keywords Compressed Earth Blocks, Augmented Reality, Interlocking Blocks, Earth Building, Dry-Stack Assembly, Sustainable Construction
series eCAADe
email
last changed 2023/12/10 10:49

_id ecaade2023_156
id ecaade2023_156
authors Luo, Ruizhe, Zhang, Xingzhao, Yang, Luqiao, Yang, Ruyi, Zhang, Fazhuo, Zhang, Ding, Huang, Chenyu and Yao, Jiawei
year 2023
title Predicting the Environmental Effects of Urban Morphology and Greenery Using Deep Generative Models
doi https://doi.org/10.52842/conf.ecaade.2023.2.307
source Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 307–316
summary The increasing urbanization process has led to greater thermal stress on pedestrians, and greenery arrangement can provide an effective mitigation strategy. However, evaluating the environmental impact of different urban morphologies and greenery arrangements using traditional methods requires time-consuming simulations. To address this challenge, we utilized a deep generative model to predict outdoor environmental indicators influenced by greenery and urban morphology. By creating a dataset of Universal Thermal Climate Index, wind speed, temperature, mean radiant temperature, and relative humidity from Envi-met simulations of three building morphologies with randomly distributed greenery arrangements, we found that Building Shadow Exposure (BSE) and Frontal Area Index, as well as BSE and Porosity, had strong interactions. Our study demonstrates that a pix2pix model trained on this dataset can accurately predict the outdoor environment in seconds (R2 > 0.80), making it a promising tool for sustainable urban planning. Thus, our research suggests that deep generative models can accelerate simulation processes and enable more comprehensive studies to support sustainable urban planning in the future.
keywords Outdoor Environment, Urban Greenery, Urban Morphology, Deep Generative Model
series eCAADe
email
last changed 2023/12/10 10:49

_id architectural_intelligence2023_15
id architectural_intelligence2023_15
authors Philip F. Yuan, Tianyi Gao, Sijia Gu & Liming Zhang
year 2023
title Methodology of fabricating 3D printing modified plastic single-layer panels with UAV positioning technology in the era of mass customization
doi https://doi.org/https://doi.org/10.1007/s44223-023-00037-w
source Architectural Intelligence Journal
summary Mass customization of prefabricated architecture is becoming increasingly crucial for developing the architectural industry. Advanced technologies such as 3D printing and unmanned aerial vehicles (UAV) has brought opportunities and challenges for traditional fabrication and construction methodology. Based on these emerging digital design tools and intelligent construction methods, this paper presents a novel methodology for fabricating single-layer 3D printing panels using UAV positioning technology, which has the potential to revolutionize the construction process and enhance the overall efficiency. This paper first provides a comprehensive review of the existing technologies in 3D printing and UAV positioning, highlighting their benefits and limitations in the context of construction applications. Next, a step-by-step process for fabricating single-layer 3D printing panels is introduced, detailing the optimal design parameters, material selection, and printing techniques. The utilization of UAV for precise positioning and alignment of the panels is then discussed, including the development of an on-site installation for accurate control. To validate the proposed method, a construction practice of the Chengdu Agricultural Expo Centre is produced o demonstrate the promising manufacturing and installation of single-layer 3D printed panels using UAV positioning technology. The results indicate that this method significantly reduces construction time, material waste, and labour costs, while also demonstrating significant customization and design flexibility.
series Architectural Intelligence
email
last changed 2025/01/09 15:03

_id cdrf2023_284
id cdrf2023_284
authors Qi Zhang, Linxue Li, Nan Ma, Yunxiang Shan, William W. Braham
year 2023
title Characterizing the Solution Space of Building Shading System Through Computational and Parametric Feed-Forward Design Approach
doi https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_24
source Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary Building shading systems play an important role in controlling solar heat gains, which can mitigate the impact of climate change on indoor environment. Effectively reducing cooling demand in summer and heating demand in winter requests further development of seasonally regulated shading systems. The main problem is to find a way that consumes less energy while reaching better comfort, which demonstrates potential for conducting an extensive search to parametrize configuration of shading. This paper aims to investigate the effects of building shading systems on energy and thermal performance in different seasonal conditions through a parametric design method, using Baoshan station in Shanghai, China as a case study to establish a baseline model and test different shading components’ direction, depth, spacing, and tilt angle. The method explores a large solution space at the beginning of design, establishing a variety of approaches that can inform the architectural design team. The results showed that a proper passive shading system can reduce energy consumption by about 13% while thermal comfort meets ASHRAE 55 standards. This finding indicates the possibility of improving the indoor thermal comfort while lessening building energy consumption.
series cdrf
email
last changed 2024/05/29 14:04

_id ecaade2023_377
id ecaade2023_377
authors Zhang, Qiyan, Li, Biao, Li, Hongjian and Tang, Peng
year 2023
title Towards Integration and Hybridization in Urban Generation: An extendable urban generative system for better natural ventilation
doi https://doi.org/10.52842/conf.ecaade.2023.2.379
source Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 379–388
summary The integration of environmental context and morphological design reflects the complexity and synthesis in the urban and architectural design process. Especially considering sustainability, synthesizing climate impact at the early design stage is a more effective way to achieve improved environmental performance. This paper presents an extendable urban generation framework that can integrate multiple environmental information through the field model and interactively generate urban massing with optimized outdoor natural ventilation. The application and implementation of the framework are shown with a case study of a multi-objective optimization model that integrates wind field and frontal area index (FAI). The proposed system supports expansion to the different urban scales and other design applications, inspiring the promising paths of the more hybrid, integrated, and extendable digital framework and the potential of performance-based design optimization toward a sustainable urban future.
keywords Generative methods, Wind environment evaluation, Performance-driven design, Urban massing generation, Field model
series eCAADe
email
last changed 2023/12/10 10:49

_id ecaade2023_162
id ecaade2023_162
authors Zhao, Hanbing, Savov, Anton, Zhang, Hang and Dillenburger, Benjamin
year 2023
title A Framework for the Design and Evaluation of Architectural Tilesets
doi https://doi.org/10.52842/conf.ecaade.2023.2.491
source Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 491–500
summary Generative design, increasingly prevalent in architecture, enables design exploration and enhanced productivity compared to traditional methods. Researchers have investigated combinatorial design using tilesets, which encode architectural meaning and promote user-friendly interactions. However, most research focuses on discovering designs rather than fine-tuning tilesets. We propose a tile-based method that introduces metrics for evaluating generated layouts and tileset design space, addressing the research gap and facilitating practical applications. The design space evaluation feedback aids architects in customizing tilesets according to their objectives by exploring the impact of tile topology and rule changes. Our framework, illustrated through double-floor single-family house tilesets using the Wave Function Collapse algorithm, generates 3D designs and 2D layouts, enables minimal-specification diverse tilesets, and demonstrates fine-tuning to avoid grid-like monotonicity, a common limitation of tile-based generative design methods.
keywords Generative Architectural Design, Data Analysis, Tileset, Wave Function Collapse
series eCAADe
email
last changed 2023/12/10 10:49

_id acadia23_v2_104
id acadia23_v2_104
authors Brandić Lipińska, Monika; Dade-Robertson, Martyn; Zhang, Meng
year 2023
title Space Architecture, Biotechnology, and Parametric Processes: Design through Assembly, Growth, and Fabrication Parameters in an Iterative Feedback Loop
source ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 104-115.
summary Resource scarcity in extraterrestrial environments, like the Moon or Mars, imposes limitations on construction, necessitating resource and energy optimization. To respond to these challenges, this paper explores the development of a parametric framework, bridging the fields of space architecture, biotechnology, and parametric processes, allowing for the development of energy and resource-efficient structural components. The foundation for the framework is built upon ongoing research conducted in collabo- ration with NASA Ames Research Center, focusing on a mycelium-based aggregation of Martian regolith for construction. Due to the nature of the material and targeted environ- ment, the proposed parametrization process is based on specific assembly, growth, and fabrication requirements. The framework incorporates a feedback loop between design, computational simulation, and physical testing. The interaction of multiple systems, imple- mented through an iterative process and hybrid design approaches, enable continuous design refinement. These systems incorporate inputs from the interconnected disciplines that pose challenges when evaluated separately. The paper recognizes the challenge of identifying crucial parameters and implicit actions, and bridging the gap between theory and implementation. It calls for further work on programming the parametrization frame- work, and integrating computational simulations and data evaluation. In emphasizing the interdisciplinary nature of future space exploration and architecture, this paper under- scores the significance of integrating diverse disciplines and technologies.
series ACADIA
type paper
email
last changed 2024/12/20 09:12

_id acadia23_v2_194
id acadia23_v2_194
authors Dade-Robertson, Martyn; Arnardottir, Thora; Lee, Sunbin; Loh, Joshua; Gilmour, Katie; Zhang, Meng
year 2023
title Engineered Living Fabrication: Combining hardware, wetware and software for the non-entropic guided growth of microbial cellulose
source ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 194-204.
summary This research presents the development and application of an Engineered Living Fabrication (ELF) system, a novel approach for fabricating materials using biological self-assembly and robotic hardware. The ELF system incorporates microbial cellulose, grown via custom fermentation vessels, into a bio-manufacturing process enhanced by synthetic biology techniques. This results in cellulose materials with modified properties. The ELF system also includes an automated input system for optogenetic or chemical stimuli and a feedback system for real-time growth monitoring. Simulations, developed in the Processing programming environment, enable the visualization and testing of various fabrication scenarios. Although the system has limitations, such as sterility requirements and robustness of engineered organisms, it exhibits potential for creating a new generation of biologically fabricated materials with unique properties. This innovative fabrication method represents a crucial step towards more sustainable and energy- efficient manufacturing strategies.
series ACADIA
type paper
email
last changed 2024/12/20 09:12

_id acadia23_v2_616
id acadia23_v2_616
authors Kuang, Zheyuan; Zhang, Jiaxin; Huang, Yiying; Li, Yunqin
year 2023
title Advancing Urban Renewal: An Automated Approach to Generating Historical Arcade Facades with Stable Diffusion Models
source ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 616-625.
summary Urban renewal and transformation processes necessitate the preservation of the histor- ical urban fabric, particularly in districts known for their architectural and historical significance. These regions, with their diverse architectural styles, have traditionally required extensive preliminary research, often leading to subjective results. However, the advent of machine learning models has opened up new avenues for generating building facade images. Despite this, creating high-quality images for historical district renovations remains challenging, due to the complexity and diversity inherent in such districts. In response to these challenges, our study introduces a new methodology for automatically generating images of historical arcade facades, utilizing Stable Diffusion models conditioned on textual descriptions. By classifying and tagging a variety of arcade styles, we have constructed several realistic arcade facade image datasets. We trained multiple low-rank adaptation (LoRA) models to control the stylistic aspects of the gener- ated images, supplemented by ControlNet models for improved precision and authenticity. Our approach has demonstrated high levels of precision, authenticity, and diversity in the generated images, showing promising potential for real-world urban renewal projects. This new methodology offers a more efficient and accurate alternative to conventional design processes in urban renewal, bypassing issues of unconvincing image details, lack of precision, and limited stylistic variety. Future research could focus on integrating this two-dimensional image generation with three-dimensional modeling techniques, providing a more comprehensive solution for renovating architectural facades in historical districts.
series ACADIA
type paper
email
last changed 2024/12/20 09:13

_id acadia23_v1_48
id acadia23_v1_48
authors Li, Tianying; Zhang, Haotian
year 2023
title Flooded House: A Disruptive Comfort Zone
source ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 48-55.
summary “Flooded House” questions the concept of hygiene of the domestic space from a post-human perspective assisted by an experimental modeling process specifying ready-made plastic products. Against the threat of water, the nemesis of indoor space, modern architecture shields it as a submarine to retain the interior bubble of the comfort zone. The “Flooded House” is instead an aquarium. While a modern home strenuously excludes nature to retain the climatic management inside the bubble, the installation, “Flooded House,” presents faithfully the precarious condition of architecture by stripping bare the wall surfaces and exposing the plastic organs in architecture, an ad hoc assembly undergoing the crisis of water.
series ACADIA
type project
email
last changed 2024/04/17 13:58

_id acadia23_v3_185
id acadia23_v3_185
authors Zhang, Haotian
year 2023
title Today Once More: Filmmaking with Photogrammetry and Neural Radiance Fields
source ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 3: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-1-0]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 24-32.
summary Photogrammetry and Neural Radiance Fields (NeRF) are volumetric capture methods that enable high-fidelity documentation of spatial and chromatic details of existing environments. These methods, alternative to canonical architectural drawing as characterized by the abundance of textural data, offer a new realm of representation that could potentially shift our perception of the city. This workshop searched for their medium specificities, particularly addressing the gap between faithful reference to the real world and speculation in the digital realm, while harnessing the tension in between. This workshop introduced the two techniques and relevant tools in the context of filmmaking, providing tutorials on NVidia Instant-ngp (NeRF), COLMAP, RealityCapture (photogrammetry), and Blender (point cloud manipulation). It unpacked the tools to understand their mechanisms and capabilities, ultimately working toward collective films about Hong Kong. In our exploration, we analyzed the mediums to use them critically. This analysis examined the unique qualities of each medium in two ways – by assessing its capacity and identifying its constraints. The capacities and constraints set it apart from other mediums or reality, the gap between which manifests the inherent characteristic yet to be aestheticized.
series ACADIA
type workshop
email
last changed 2024/04/17 14:00

_id cdrf2023_211
id cdrf2023_211
authors Yongqin Zhao, Sijia Wang, Difan Chen, Kaijie Huang, Siyuan Zhang, Waishan Qiu, Wenjing Li
year 2023
title Estimating the Impacts of Seasonal Variations of Streetscape on Dockless Bike Sharing Trip with Street View Images and Computer Vision
doi https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_18
source Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary A significant portion of the cycling experience is influenced by the streetscape, and this impact varies throughout the year. The temporal dynamic of streetscape has been neglected in most previous studies, including urban public mobility route choices. This paper examines the correlation between dockless bike sharing and streetscape as well as spatial elements in different seasons using a large amount of GPS bike trajectory data collected by LIME. The study shows that: (1) DBS volume is significantly influenced by seasonal streetscape factors such as roads, cars, sidewalks, tree, and vegetation color; (2) How significantly these seasonal factors affect DBS volume differs in summer and autumn; (3) In both summer and autumn models, non-seasonal factors like mixed land use score, street network connectivity, etc., are significant. Some non-seasonal factors only impact the DBS volume in one season; (4) When adding subjective perception to models of both seasons, model explanatory does get improved very slightly.
series cdrf
email
last changed 2024/05/29 14:04

_id caadria2023_116
id caadria2023_116
authors Zhang, Yue Ying, Wang, Hao Ran and Zhu, Ke
year 2023
title Integrating Heritage Preservation and City Development
doi https://doi.org/10.52842/conf.caadria.2023.1.727
source Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 727–736
summary ICOMOS has pointed out that digital technologies have become important ways to protect heritages. Existing researches focus on the digital reconstruction of heritage in virtual spaces. Less attention is paid to the utilization of heritage entities and the potential for virtual heritage interaction to present complex values of heritages. Augmented reality (AR) can integrate text, images, and models into digital information to add to heritages in real sites. This paper takes the Grand Canal? a great masterpiece of Chinese civilization and even human history, as a research object. With the acceleration of the urbanization process and the change in transportation patterns, the contradiction between the preservation of it and urban development has become increasingly prominent. Based on the analysis of heritage values, this research reconstructs digital models of heritages and develops interactions with them in the Unreal Engine, relying on mobile AR to create a novel cultural landscape through a combination of virtual and real Grand Canal. This research contributes to improving the material and cultural living standards of citizens by integrating heritage preservation and urban design through the design and development of this digital system.
keywords Digital heritage preservation, augmented reality, heritage value, the Grand Canal, cultural landscape
series CAADRIA
email
last changed 2023/06/15 23:14

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