Part 4/15:
This approach underscores why simulations are widely used—due to the limited availability and high cost of real-world data collection. However, the more realistic and representative the simulation, the better the AI will perform in the physical world.
Tesla's Unique Advantage: Training with Real-World Data
In contrast to most companies relying heavily on simulation, Tesla has distinguished itself by training its neural networks predominantly on real-world data from its fleet of vehicles. Tesla's approach involves collecting video data from its autonomous cars navigating real urban environments and using this information to refine their driving models.