SELFY - Virtual Vehicle

Realistic demonstrations show new cybersecurity tools for autonomous and connected vehicles.

These include:
- The SELFY toolbox solution aims to detect safety violations that go beyond a single vehicle’s own field of view (FOV).
- First validations in urban areas on the ADAS/CAV test track at Applus+ IDIADA in Catalonia, where real-life situations in large cities were simulated.
- Live traffic demonstration in the city center of Vienna, where camera sensors and roadside units were distributed throughout the city.
- VIRTUAL VEHICLE provided expertise and automated test vehicles and develops new functions for data exchange
- SELFY offers car manufacturers, traffic managers, fleet operators and drivers a comprehensive solution to detect, respond to and mitigate cyberattacks.

Achievements

The SELFY project has developed a toolbox made up of collaborative solutions with the objective to improve the resilience of the Cooperative Connected Automated Mobility sector.
The project conducted research and development on algorithms and technologies and built a set of tools to improve CCAM resilience and guarantee data security and privacy when different data is shared.
SELFY’s main goal was to promote a safe and secure operation amongst CCAM vehicles and mobility systems and services, enhancing trust and end-user adoption of CCAM solutions.

The SELFY project has received funding from the Horizon Europe programme under grant agreement No. 101069748. Funded by the European Union.

Disclaimer: Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or CINEA. Neither the European Union nor the granting authority can be held responsible for them.