IBM Ferrari Hyperlap & Hyperdrive
I helped develop and design both IBM Ferrari activations with the team at FIELD.
From FIELD.IO: "This is beyond a driving simulator, it’s a demonstration of speed + intelligence. When fans sit at the wheel, they grasp what we discovered with IBM + Ferrari — that dynamic intelligent systems can turn raw telemetry into rapid feedback + real-time understanding."
Core responsibilities:
• Automotive rigging: Successfully implemented a telemetry-driven Control Rig using Blender and Unreal Engine, including an accurate F1 double wishbone suspension as well as a driver rig.
• Blueprint Logic: Authored logic to drive Control Rig and Animation from Shared Memory MQTT messages, as well as provide further telemetry to the back-end and database.
• UI: Employed UMG to design and implement dynamic state-driven UI elements to showcase and evaluate driver skill, such as braking zones, corner apex accuracy and velocity/downforce metrics.
• Optimization, debugging and rendering: Optimized highly-detailed incoming meshes including UDIMs to fit real-time budgets, developing an automated pipeline using SideFX Houdini. Debugged various asset, logic and rendering related issues alongside two other developers.
Interactive preview of the SF control rig
Control rig receiving inputs from real race telemetry
Preview of the SF control rig
Trailer from FIELD.IO "IBM: Ferrari"