Tesla’s Unsupervised FSD Takes Over at Gigafactory Berlin: A Milestone for Autonomous EVs

Tesla has reached a groundbreaking milestone at its Gigafactory Berlin-Brandenburg, where vehicles equipped with unsupervised Full Self-Driving (FSD) technology are now autonomously navigating the facility’s parking lot. This development, captured in a recent timelapse video, showcases the future of electric vehicle (EV) automation and its potential to revolutionize manufacturing logistics.

FSD Technology in Action at Gigafactory Berlin

O timelapse video, shared by Tesla enthusiast Tobias Lindh on May 27, 2025, reveals a fleet of newly produced Tesla vehicles autonomously moving from the production line to the parking lot at Gigafactory Berlin. According to the post on X by Tesla Chan, “They are shipped after production and move themselves to the parking lot.” This marks a significant step forward for Tesla’s FSD system, which allows vehicles to operate without human intervention in controlled environments like factory grounds.

The Gigafactory Berlin-Brandenburg, located in Grünheide, Germany, approximately 22 miles (35 kilometers) southeast of Berlin, has been a hub for Tesla’s European production since its opening in 2022. The facility primarily produces the Model Y, with plans to expand output to 500,000 vehicles annually. Implementing unsupervised FSD in such a high-volume production setting demonstrates Tesla’s confidence in its autonomous driving technology and its ability to streamline operations.

How Unsupervised FSD Enhances Factory Operations

Unsupervised FSD at Gigafactory Berlin allows Tesla vehicles to self-navigate through the factory’s expansive 740-acre (300-hectare) site, reducing the need for human drivers to shuttle cars between production and storage zones. This automation can cut operational costs and minimize human error, ensuring a smoother workflow. For instance, the system uses advanced sensors, cameras, and AI to detect obstacles and follow pre-mapped routes, enabling precise parking alignment even in crowded lots, as seen in the video where dozens of Model Ys are neatly arranged.

From a technical perspective, Tesla’s FSD relies on a neural network trained on millions of miles of real-world driving data, paired with the company’s custom-built Dojo supercomputer for faster processing. This setup allows the vehicles to make real-time decisions, such as adjusting speed or rerouting to avoid obstacles. The implications for EV production are substantial: factories can operate with greater efficiency, potentially reducing production bottlenecks and lowering labor expenses.

Industry Trends and Future Implications

The adoption of unsupervised FSD in manufacturing aligns with broader trends in the EV industry, where automation is increasingly critical to scaling production while maintaining cost competitiveness. Tesla’s move could set a precedent for other automakers, encouraging the integration of autonomous systems in factory logistics. For EV owners and enthusiasts, this advancement hints at a future where FSD-equipped vehicles could handle more complex tasks, such as self-parking in urban environments or navigating charging stations independently.

However, challenges remain. Regulatory hurdles for unsupervised FSD vary across regions, and while factory grounds are controlled environments, public road deployment requires stricter oversight. In the European Union, for example, autonomous vehicle regulations are still evolving, with safety standards like the UNECE’s Automated Lane Keeping Systems (ALKS) framework setting the tone. Tesla will need to navigate these frameworks as it expands FSD applications beyond factory settings.

As Tesla continues to refine its FSD technology, the success at Gigafactory Berlin could accelerate its rollout in other facilities, such as Giga Shanghai or Giga Texas. For EV enthusiasts and industry professionals, this milestone underscores Tesla’s leadership in autonomous driving and its potential to reshape the future of EV production and ownership.