Projects
Our applied research
Projects of RSA FG
- All
- DATA SCIENCE
- DATA SCIENCE
- DATA SCIENCE Prototyp
- Demonstrator PCA
- iSPACE - SMART SETTLEMENT SYSTEMS
- iSPACE - SMART SETTLEMENT SYSTEMS Demonstrator
- iSPACE - SMART SETTLEMENT SYSTEMS Prototyp
- iSPACE 4D ENVIRONMENT
- MOBILE KNOWLEDGE LAB
- MOBILE KNOWLEDGE LAB
- MOBILE KNOWLEDGE LAB
- MOBILE KNOWLEDGE LAB
- PERVASIVE COMPUTING APPLICATIONS
- PERVASIVE COMPUTING APPLICATIONS
- PERVASIVE COMPUTING APPLICATIONS
- SMART APPLICATIONS TECHNOLOGIES
- SMART APPLICATIONS TECHNOLOGIES
- SMART DIGITAL INDUSTRIES AND SERVICES
- SMART SETTLEMENT SYSTEMS
- SMART SETTLEMENT SYSTEMS
SIMplifEYE
In order to react correctly in an emergency, first responders and medical professionals have to invest a lot of time in training. However, previous simulations often rely on subjective observations and do not provide an objective assessment of performance – data-based approaches and automatable analyses are lacking.
Twin4Clim
Detailed Information Twin4Clim: Urbane Digitale Zwillinge zur grenzübergreifenden Unterstützung von Gemeinden bei der Anpassung an den Klimawandel (Urban Digital twins to support communities across [...]
PACE DPP
PACE-DPP – Promoting and Accelerating a Digital Product Passport based data-service ecosystems – is motivated by providing guardrails and solution bricks for tackling the basic technological and regulatory challenges for a smooth instantiation of DPP-based Ecosystems.
SAFARI
By analysing innovative data sources - and linking these with conventional data - SAFARI identifies barriers to access to sustainable mobility services, particularly for vulnerable groups in rural regions, and develops appropriate solutions for more inclusive provision and use of these services.
CAPTCHA
The tech2people and PCA project CAPTCHA aims to provide individualised, data-driven therapy of the future and to implement clinically relevant assessments in both therapy and home care.
CHAnGE
Mixed reality technologies offer far-reaching opportunities for innovative and immersive services for end users in various areas such as healthcare, training and education as well as entertainment. However, these services rely on large amounts of sensitive, personal data. Currently, there are no mechanisms and general principles available that allow users to effectively take control of their sensitive data without having to opt out of the associated services.
