Tesla has made a fundamental change to the software architecture of its autonomous driving system with FSD V12. Instead of thousands of manually written lines of code, control is now based exclusively on trained neural networks. This enables smoother and more human-like driving behavior, as the AI learns from millions of real driving situations.
What's new in FSD V12?
- End-to-End Neural Networks: The entire control chain – from camera perception to steering, braking, and acceleration commands – is handled by a single large neural network.
- No explicit traffic rules: Instead of relying on hardcoded rules, the system learns from real driver data, often leading to more natural decisions.
- Improved city driving: Early testers report significantly reduced jerky movements and better lane changes.
[NOTE] > FSD V12 is currently only available in the US for selected testers. European approval is still pending – UNECE regulations require, among other things, steering wheel monitoring and detailed safety evidence.
HW3 vs. HW4: Performance Differences
While HW3 offers the basic advantages of V12, HW4 vehicles benefit from higher resolution and computational reserves for future improvements.
Significance for Europe
Switching to neural networks could accelerate Tesla's path to FSD in Europe, as the software can react more flexibly to European traffic peculiarities. Nevertheless, regulatory hurdles remain. Learn more about the status of EU approval.Conclusion
FSD V12 marks the transition from rule-based to data-driven autonomous driving. For Tesla fans in Europe, the question remains: When will the update arrive? Current developments on expansion in Europe.Further details on the previous version can be found in our article on FSD V14.