Training, testing and validating autonomous vehicles requires a continuous pipeline -- or data factory -- to introduce new scenarios and refine deep neural networks. A key component of this process is simulation. AV developers can test a virtually limitless number of scenarios, repeatably and at scale, with high-fidelity, physically based simulation. And like much of the technology related to AI, simulation is constantly evolving and improving, getting ever nearer to closing the gap between the real and virtual worlds. NVIDIA DRIVE Sim, built on Omniverse, provides a virtual proving ground for AV testing and validation.

The software-defined nature of the HRL131 means it is situationally aware, with the ability to adapt its scan pattern depending on the driving scenario to maximize safety. It's critical that manufacturers be able to test and validate these performance modes and the product's performance in diverse situations, which NVIDIA DRIVE Sim will uniquely enable.