An Interactive Terrain Design Method Combining Augmented Reality Sandbox and Multi-objective Optimization Assistance

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Standard

An Interactive Terrain Design Method Combining Augmented Reality Sandbox and Multi-objective Optimization Assistance. / Xu, Hanwen; Randall, Mark Taylor; Zhu, Yusong; Wang, Tiansu.

I: Journal of Digital Landscape Architecture, Bind 9, 2024, s. 673-682.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Xu, H, Randall, MT, Zhu, Y & Wang, T 2024, 'An Interactive Terrain Design Method Combining Augmented Reality Sandbox and Multi-objective Optimization Assistance', Journal of Digital Landscape Architecture, bind 9, s. 673-682. https://doi.org/10.14627/537752062

APA

Xu, H., Randall, M. T., Zhu, Y., & Wang, T. (2024). An Interactive Terrain Design Method Combining Augmented Reality Sandbox and Multi-objective Optimization Assistance. Journal of Digital Landscape Architecture, 9, 673-682. https://doi.org/10.14627/537752062

Vancouver

Xu H, Randall MT, Zhu Y, Wang T. An Interactive Terrain Design Method Combining Augmented Reality Sandbox and Multi-objective Optimization Assistance. Journal of Digital Landscape Architecture. 2024;9:673-682. https://doi.org/10.14627/537752062

Author

Xu, Hanwen ; Randall, Mark Taylor ; Zhu, Yusong ; Wang, Tiansu. / An Interactive Terrain Design Method Combining Augmented Reality Sandbox and Multi-objective Optimization Assistance. I: Journal of Digital Landscape Architecture. 2024 ; Bind 9. s. 673-682.

Bibtex

@article{203acfb2e4854b1f9c96f91b20b47cbd,
title = "An Interactive Terrain Design Method Combining Augmented Reality Sandbox and Multi-objective Optimization Assistance",
abstract = "Virtual Reality (VR) concepts have been widely adapted to various disciplines and industries. The Augmented Reality Sandbox (AR-Sandbox) is an intuitive terrain visualization facility that realizes digital content projection onto the sand or clay surface and interactive operation. In this study, we developed an assistance tool to enhance AR-Sandbox's utility through the integration of the multi-objective optimization algorithm, enabling users to customize objectives including maximizing flow path length, minimizing maximum runoff velocity, and minimizing earthworks. Based on the non-dominated sorting genetic algorithm-Ⅱ (NSGA-Ⅱ) and multi-scenario plan references, this method aims to provide a more quantitative and efficient way than trial and error-based terrain-design processes.",
author = "Hanwen Xu and Randall, {Mark Taylor} and Yusong Zhu and Tiansu Wang",
year = "2024",
doi = "10.14627/537752062",
language = "English",
volume = "9",
pages = "673--682",
journal = "Journal of Digital Landscape Architecture",
issn = "2367-4253",
publisher = "Wichmann Verlag",

}

RIS

TY - JOUR

T1 - An Interactive Terrain Design Method Combining Augmented Reality Sandbox and Multi-objective Optimization Assistance

AU - Xu, Hanwen

AU - Randall, Mark Taylor

AU - Zhu, Yusong

AU - Wang, Tiansu

PY - 2024

Y1 - 2024

N2 - Virtual Reality (VR) concepts have been widely adapted to various disciplines and industries. The Augmented Reality Sandbox (AR-Sandbox) is an intuitive terrain visualization facility that realizes digital content projection onto the sand or clay surface and interactive operation. In this study, we developed an assistance tool to enhance AR-Sandbox's utility through the integration of the multi-objective optimization algorithm, enabling users to customize objectives including maximizing flow path length, minimizing maximum runoff velocity, and minimizing earthworks. Based on the non-dominated sorting genetic algorithm-Ⅱ (NSGA-Ⅱ) and multi-scenario plan references, this method aims to provide a more quantitative and efficient way than trial and error-based terrain-design processes.

AB - Virtual Reality (VR) concepts have been widely adapted to various disciplines and industries. The Augmented Reality Sandbox (AR-Sandbox) is an intuitive terrain visualization facility that realizes digital content projection onto the sand or clay surface and interactive operation. In this study, we developed an assistance tool to enhance AR-Sandbox's utility through the integration of the multi-objective optimization algorithm, enabling users to customize objectives including maximizing flow path length, minimizing maximum runoff velocity, and minimizing earthworks. Based on the non-dominated sorting genetic algorithm-Ⅱ (NSGA-Ⅱ) and multi-scenario plan references, this method aims to provide a more quantitative and efficient way than trial and error-based terrain-design processes.

U2 - 10.14627/537752062

DO - 10.14627/537752062

M3 - Journal article

VL - 9

SP - 673

EP - 682

JO - Journal of Digital Landscape Architecture

JF - Journal of Digital Landscape Architecture

SN - 2367-4253

ER -

ID: 393166771