6G-XR

SafeDriveXR

SafeDriveXR, titled Enhanced Driver Awareness through Cooperative XR Technologies, represents a cutting-edge use case within the domain of Connected, Cooperative and Automated Mobility (CCAM), implemented under the South Node of the 6G-XR infrastructure. The project demonstrates how 6G-enabled Extended Reality (XR) technologies, combined with cooperative perception, can substantially improve driver awareness and overall road safety. By fusing real-time data from multiple vehicles and roadside sensors, the system generates a shared “cooperative vision” of the surrounding environment, extending visibility beyond the driver’s direct line of sight. Through an immersive XR interface, hidden or occluded objects such as vehicles, pedestrians, and obstacles are visualized in real time, empowering drivers to react earlier and make safer, more informed decisions.

The primary objective of SafeDriveXR is to integrate cooperative perception and XR visualization into a unified, low-latency, edge–cloud architecture capable of supporting next-generation mobility services. The experiment showcases real-time visualization of fused multi-sensor data using a Meta Quest 3 headset, enabling natural and intuitive perception of complex traffic scenes. By combining AI-based multimodal object detection, CARLA-based simulation, and Unity-powered XR rendering, the system bridges human cognition with machine intelligence in a trustworthy, explainable, and responsive way.

The SafeDriveXR solution also serves as a validation use case for the 6G-XR South Node’s capability to support latency-sensitive and safety-critical applications in connected mobility. Its deployment demonstrates the synergy between high-performance edge–cloud computing and immersive human–machine interaction. The project provides compelling evidence of how 6G infrastructures can empower human-centered mobility systems aligned with Europe’s Vision Zero and Green Deal goals for safer, cleaner, and more sustainable transport.

Type of experiment:
Demonstration

Functionality:
CCAM / CCAM in micro-mobility scenarios



Location(s):
Spain

Vertical sector(s):
Automotive/ Transport/ Logistics

Additional Information:

Degree of replicability according to the Replicability Assessment tool: 4

6G-XR


Duration:

GA Number: 101096838

SNS JU Call (Stream):
Call 1
Stream C

This tool has received funding from the European Union’s Horizon Europe Research and Innovation programme under the SNS ICE project (Grant Agreement No 101095841)