Scaling Autonomous Vehicles

Scalability remains a critical challenge in deploying autonomous vehicles across different cities. Local peculiarities, such as unique traffic patterns and road configurations, necessitate extensive data collection and model tuning before safe deployment can occur. The discussion highlights the importance of building a versatile driver system that can adapt to various environments while ensuring safety through rigorous analysis.