As the industry reaches for higher levels of autonomy, OEMs and Tier 1s are in an arms race to fill their pipelines with more and more digital gold – that is, data.
Data collected from the sensor setup of an autonomous vehicle feeds into the development process for training neural networks or creating heuristic algorithms and into the validation process for real-world data replay techniques, such as in real-time hardware-in-the-loop testing.
In this free webinar, Jacob Perrin of dSPACE takes an in-depth look at the infrastructure which makes up the source of these data pipelines.
Key topics and takeaways:
- The unique challenges of collecting data for development programs for SAE Level 3 and above and the technology that can overcome them
- Common clogs in the data pipeline and techniques to overcome those blocking points
- The methods and benefits of selecting which data to record, upload, manage, and reprocess in your data lake