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Interactive digital twins enabling responsible extended reality applications
Maya Antoun1, Imad H Elhajj2, Malak Sayour1
1Vision and Robotic Lab, American University of Beirut, Beirut, Lebanon.
The DIDYMOS-XR project develops large-scale digital twins (DTs) for extended reality (XR) applications in urban planning, maintenance, and tourism. This research introduces advanced methods for creating and manipulating DTs while addressing ethical considerations.
Area of Science:
- Computer Science
- Urban Planning
- Extended Reality
Background:
- Digital twins (DTs) are emerging as powerful tools for simulating real-world objects and processes.
- Current applications and creation methodologies for DTs are still in their early stages.
- The DIDYMOS-XR project aims to advance DT technology for large-scale, long-term Extended Reality (XR) applications.
Purpose of the Study:
- To propose and demonstrate use cases for city-wide digital twins in planning, maintenance, and tourism.
- To present innovative solutions for the creation, simulation, and manipulation of DTs.
- To address and mitigate ethical and privacy challenges associated with digital twin systems.
Main Methods:
- Development of advanced techniques for 3D scene reconstruction, data enhancement, and compression.
- Implementation of sensor fusion, localization, rendering, and scene understanding for DTs.
- Demonstration of use cases in urban environments (Germany, Spain) and manufacturing settings.
Main Results:
- A comprehensive framework for creating semantically rich, scalable, and interactive digital twins.
- Cutting-edge solutions in DT creation, simulation, and manipulation.
- Evaluation of DT applications in city planning, maintenance, tourism, and industrial optimization.
Conclusions:
- Digital twins offer significant potential for diverse applications, from urban development to industrial processes.
- The DIDYMOS-XR project provides a robust framework and advanced techniques for realizing the potential of digital twins.
- Addressing ethical and privacy concerns is crucial for the responsible deployment of digital twin technology.
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