Part 7/10:
The company emphasized that their approach largely relies on synthetic data—using simulated clips to train and test autonomous models. They intend to generate extensive virtual driving scenarios to improve vehicle AI without the need for real-world data collection. However, critics question whether synthetic scenarios can adequately substitute for real-world driver feedback, which is vital for refining autonomous systems.
Challenges with Synthetic Data and Feedback Loops
Generating synthetic data involves creating millions of simulated driving scenarios to train and test autonomous models. While this approach offers scalability and safety advantages, it raises concerns:
- Authenticity of simulated scenarios: Can synthetic environments replicate all real-world complexities?