Project description
Better digital twins to drive the future of cities and industries
The digital transformation and the availability of more diversified and cost-effective means for 3D capture have led to the creation of digital twins also for physical environments. Based on such digital twins, various applications could be built using real-time data from real-world environments, serving as a blueprint for smart cities and for improving performance and efficiency across industries. Currently, creating high-fidelity digital twins is costly, and their update requires manual intervention. Furthermore, data integration from heterogeneous sensors is challenging. The EU-funded DIDYMOS-XR project will implement technology to create improved large-scale digital twins, synchronised with the real world. DIDYMOS-XR will investigate and develop methods for data reconstruction and mapping from heterogeneous inputs, including static and mobile sensors, AI-based data fusion, scene understanding and rendering.
Objective
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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
This project's classification has been validated by the project's team.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
This project's classification has been validated by the project's team.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.2.4 - Digital, Industry and Space
MAIN PROGRAMME
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HORIZON.2.4.6 - Next Generation Internet
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-RIA - HORIZON Research and Innovation Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-CL4-2022-HUMAN-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
8010 Graz
Austria
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.