Making World Models Safe for Autonomous Systems

For more than a decade, autonomous driving has relied on a familiar and almost comforting architecture: perception, prediction, decision-making, planning, and control. A clean, modular pipeline; a system where each…

This is why proving grounds (test tracks) are stepping back into the spotlight. Far from being outdated, they’re now the only controlled and systematic source of real-world, safety-critical data. Even…

Over the past decade, artificial intelligence has transformed how we design and operate autonomous driving systems. Early vehicles relied on rule-based software — deterministic code that followed predefined conditions. Then…