Descripción del proyecto
Mejores gemelos digitales para impulsar el futuro de las ciudades e industrias
La transformación digital y la disponibilidad de medios más diversificados y rentables para la captura en tres dimensiones han permitido crear gemelos digitales de entornos físicos. Sobre la base de estos gemelos digitales, podrían crearse diversas aplicaciones utilizando datos inmediatos procedentes de entornos reales, lo que serviría de modelo para las ciudades inteligentes, así como para mejorar el rendimiento y la eficiencia en todos los sectores. En la actualidad, crear gemelos digitales de alta fidelidad es caro y su actualización requiere intervención manual. Además, la integración de datos procedentes de sensores heterogéneos es todo un reto. El equipo del proyecto DIDYMOS-XR, financiado con fondos europeos, implantará tecnología para crear mejores gemelos digitales a gran escala y sincronizados con el mundo real. En DIDYMOS-XR se investigarán y desarrollarán métodos de reconstrucción y cartografía de datos a partir de entradas heterogéneas, incluidos sensores estáticos y móviles, fusión de datos basada en la inteligencia artificial y comprensión y fusión de escenas.
Objetivo
The digital transformation and the availability of more diverse and cost-effective methods for 3D capture has led to the creation of digitised representations of parts of our public spaces, machinery and processes, so-called Digital Twins. These Digital Twins are an important basis for building advanced XR applications for cityscapes and the industrial environments. These XR applications need high-fidelity models for accurate localization, which are kept in-sync with the real world. However, currently (i) creating high-fidelity Digital Twins is costly, (ii) integrating data from heterogeneous sensors is still challenging and (iii) the update of Digital Twins requires explicit manual intervention.
The vision of DIDYMOS-XR is to enable advanced, more realistic and more dynamic extended reality (XR) applications, powered through artificial intelligence. The project thus focuses on advancing technologies for creating large-scale digital twins, synchronised with the real world. DIDYMOS-XR will research and develop methods for reconstruction and mapping from heterogeneous inputs, including static and mobile sensors, AI-based data fusion, scene understanding and rendering. Digtal twin based XR applications also require means of accurately positioning in the environment, aware of the dynamics of the scene, also addresed by the project.
The capture of scenes at scale, as well as using cameras and other sensor data for synchronising the digital representation, bears the risk of capturing personal and sensitive data. Hence, the technologies resulting from DIDYMOS-XR must be and will be ethical and privacy-aware by design.
In order to demonstrate and validate the enabling technologies researched and developed in DIDYMOS-XR, the project will address use cases of XR applications in two domains that differ in their scale and characteristics. One is urban planning and smart mobility, the other is the collaboration with autonomous mobile robots at an industrial production facility.
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HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinador
8010 Graz
Austria