TIER IV Unlocks Autonomous Racing via Open-Source Reference Design

Developing autonomous technology has long required a prohibitive investment in hardware and simulation infrastructure. To bridge this gap, TIER IV provided a standardized platform—centered on the Autoware open-source stack—that served as the foundation for the 2026 Autonomous Driving AI Challenge. The initiative supported 240 teams, allowing participants to bypass the tedious task of building a system from scratch and instead focus on refining AI models and driving logic.

The reference design integrates a TOM'S EV racing kart with GNSS positioning, inertial measurement units, and custom onboard computing. Beyond the hardware, TIER IV bundled the release with a simulation environment and web-based evaluation tools. This setup allowed competitors to iterate on their software in a virtual space before deploying it to real-world racing conditions during the challenge's final rounds on September 19-20.

By open-sourcing the blueprints, TIER IV is pushing for the democratization of autonomous systems. The company plans to continue expanding these reference offerings, leveraging global partnerships in research and industry to refine the Autoware ecosystem. This approach shifts the focus of autonomous development from proprietary foundational work toward collaborative innovation.