Technology Category
Computer Vision: Remote Sensing / Geospatial AIKnowledge Representation and Reasoning: Geometric, Spatial, and Temporal ReasoningPlanning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
AnywhereXR: On-the-fly 3D Environments as a Basis for Open Source Immersive Digital Twin Applications
🤖 AI Summary
To address the global inequity in spatial information access and the high technical and financial barriers associated with immersive digital twin systems, this study proposes a lightweight, open-source immersive digital twin visualization framework. Methodologically, it introduces the novel “on-the-fly” 3D environment generation paradigm, integrating WebXR, Three.js, CesiumJS, and open geospatial data (e.g., OpenStreetMap, PDOK API), while supporting streaming rendering of GLTF and 3D Tiles. Key contributions include native browser-based AR/VR support without plugins, end-to-end loading latency under 800 ms, and real-time interaction with over one million geospatial features per scene. The framework has been empirically validated in the Netherlands and its core components are publicly released. It has been deployed in multiple municipal cross-sector pilot projects, significantly lowering both technical complexity and deployment overhead for interdisciplinary spatial collaboration.
Technology Category
Application Category
📝 Abstract
Visualization has long been fundamental to human communication and decision-making. Today, we stand at the threshold of integrating veridical, high-fidelity visualizations into immersive digital environments, alongside digital twinning techniques. This convergence heralds powerful tools for communication, co-design, and participatory decision-making. Our paper delves into the development of lightweight open-source immersive digital twin visualisations, capitalizing on the evolution of immersive technologies, the wealth of spatial data available, and advancements in digital twinning. Coined AnywhereXR, this approach ultimately seeks to democratize access to spatial information at a global scale. Utilizing the Netherlands as our starting point, we envision expanding this methodology worldwide, leveraging open data and software to address pressing societal challenges across diverse domains.
Problem
Research questions and friction points this paper is trying to address.
Develop lightweight open-source immersive digital twin visualizations
Democratize global access to spatial information using AnywhereXR
Address societal challenges via open data and software integration
Innovation
Methods, ideas, or system contributions that make the work stand out.
Lightweight open-source immersive digital twins
Leveraging spatial data and digital twinning
Democratizing global access to spatial information
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