VaS for Vehicle Safety

Overview

Enhances vehicle safety with AI-driven system monitoring, OTA updates, advanced cybersecurity, and real-time technologies for the reliable, secure, and dynamic operation of embedded systems (e.g., engine management, braking, steering, infotainment).

 

Expected Outcomes

  • To increase the transmission rate of detected vehicle incidents while driving from 87% to 99%.
    • KPI: 20% less time reacting to incidents.

This use case is now available in the hourglass canvas, mapping the relevant stakeholders against the capabilities required for delivery and uptake. Explore it to identify who needs to be engaged, what is already in place, and where capability gaps remain

View this use case on the hourglass model
Country:
Romania
Domain:
Mobility
Part of: Pilot 2: Software Defined Vehicle for VaS in Urban Areas
Projects: O-CEI
TRL: 4-6: Validation and Prototype
Involved partners:
image of AI use in mobility