Result description
UPAT’s innovation introduces an adaptive rendering framework that optimizes XR visual experiences by dynamically calibrating illumination, shadows, occlusion, and geometry compression.
Using real-world geolocation and weather data, the system estimates real-time lighting conditions to achieve physically consistent illumination. User-specific visual preferences and accessibility parameters are integrated to ensure personalized and comfortable experiences.
Additionally, UPAT developed geometry-based saliency compression, reducing computational overhead while maintaining perceptual realism. This enables XR applications to perform efficiently on resource-constrained devices such as AR headsets and mobile platforms.
Addressing target audiences and expressing needs
- Grants and Subsidies
Funding and industrial collaboration to scale and integrate the adaptive rendering framework into market-ready XR platforms for smart-city, cultural heritage, and training applications.
- Public or private funding institutions
R&D, Technology and Innovation aspects
The framework has been validated with real-world illumination and user-interaction data. Next steps include full device integration (AR headset optimization), usability testing with end-users, and performance benchmarking for large-scale environments.
A software-based rendering module can be integrated into multiple XR engines (Unity, Unreal) and vertical applications (mobility, heritage, industry).
Modular framework, fully compatible with standard XR pipelines and open data sources
Enables energy-efficient, reusable rendering components aligned with EU sustainability goals.
- Europe
- Asia