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 multiobjective 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.
Autor / Author: | Xu, Hanwen; Randall, Mark; Zhu, Yusong; Wang, Tiansu |
Institution / Institution: | University of Copenhagen, Copenhagen/Denmark; University of Copenhagen, Copenhagen/Denmark; Southeast University, Nanjing/China; Royal Danish Academy, Copenhagen/Denmark |
Seitenzahl / Pages: | 10 |
Sprache / Language: | Englisch |
Veröffentlichung / Publication: | JoDLA – Journal of Digital Landscape Architecture, 9-2024 |
Tagung / Conference: | Digital Landscape Architecture 2024 – New Trajectories in Computational Urban Landscapes and Ecology |
Veranstaltungsort, -datum / Venue, Date: | Vienna University of Technology, Austria 05-06-24 - 07-06-24 |
Schlüsselwörter (de): | |
Keywords (en): | Augmented reality sandbox, multi-objective optimization, NSGA-Ⅱ, terrain-design method, landscape architecture |
Paper review type: | Invited contribution |
DOI: | doi:10.14627/537752062 |
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