Quality and Usability


The vision of DIDYMOS-XR is to enable advanced, more realistic and more dynamic extended reality (XR) applications, enabled by artificial intelligence (AI). The project thus focuses on advancing the state of the art of enabling technologies that will allow creating large-scale digital twins, synchronised in real-time with the real world.

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

  • Cityscape: Create digital twins of cities and their infrastructure, based on existing digital information, captured with dedicated equipment and low-quality sensors available at scale (e.g., cameras in cars), and keep them up to date relying on deployed static and moving cameras, sensor data and data from relevant systems. This enables XR applications for urban planning, citizen involvement, smart mobility and tourism

  • Industry: Create cost-effective digital twins of existing production facilities and keep them synchronised with data from autonomous mobile robots (AMR) and humans. Collaborative mapping with a human in the loop will ensure high-fidelity digital twins, ensure worker safety in applications relying on digital twin data and collect data for further training of automatic reconstruction and mapping approaches.

Timeframe: 01/2023-12/2025


Joanneum Research Forschungsgesellschaft mbH 
American University of Beirut 
Ethniko Kentro Erevnas Kai Technologikis Anaptyxis 
Fundació Privada i2CAT, Internet i Innovació Digital a Catalunya DigitalTwin Technology GmbH 
Panepistimio Patron (University of Patras) 
Ficosa ADAS, SL 
Technische Universität Berlin 
Trilateral Research 
Hochschule Hamm-Lippstadt 
FIWARE Foundation e.V. 
IDEALworks GmbH 
Unity Technologies ApS