Virtual Production Car Process
Where Gen-AI, Game Engines, and Traditional Video Fall Short
As generative AI, real-time game engines, and traditional video plates become more common on LED stages, many productions assume car process is a solved problem. In practice, it often breaks down under the pressures that matter most to producers: tight schedules, repeatability across episodes, continuity between shots, and confidence that what works on day one will still work weeks later.
This session examines where these approaches fall short when applied to car interiors, particularly around long-take continuity, lighting consistency and perspective control. Drawing from real production experience, the speakers outline a hybrid, production-first methodology that prioritizes predictability, flexibility, and creative control over novelty.
Rather than focusing on tools, the talk centers on outcomes: what reduces reshoots, minimizes on-set uncertainty, and scales reliably for episodic television and feature work. Attendees will leave with a clearer understanding of how to approach virtual production car process in a way that protects schedule, budget, and creative intent.
The approach discussed reflects why Sim-Plates was created in the first place: to deliver production-ready car process environments that hold up under real schedules, real cameras, and real creative demands.