FIDAL

The FIDAL-VLC use case implements a B5G testbed for cyber-physical convergence in remote driving applications at the Universitat Politècnica de València (UPV). The testbed enables end-to-end (E2E) optimisation for different robotic verticals by stressing and testing the delivery of the data involved in remote driving, including the advanced 5G connectivity, real-time video streaming protocols, tele-control applications, and AI analytics. In particular, the use case demonstration will feature an immersive race between two mobile robots with an AI-based obstacle avoidance system remotely driven through a 5G private network. The testbed is deployed in the UPV’s facilities, particularly the immersive laboratory and the velodrome inside the UPV campus. A 5G private network covers both facilities, fully managed and configured by UPV. The immersive race will occur in the velodrome, with the robots remotely driven from indoor cockpits in the immersive lab. The robots, embedded with sensors and cameras that allow their remote control, send telemetry data to the edge to create a cyber-physical twin of the race.