NVIDIA showcases how AI and generative AI tools empower autonomous vehicle developers, not only in managing datasets, but also in scaling test scenarios to encounter a wide range of challenges before hitting the road.
- Developing an Autonomous Vehicle is a very complex task with many different elements, from managing your dataset to validation and testing the driving behaviors.
- We can use AI to help review and curate sensor datasets.
- We can use generative AI to not only generate a simulation scenario but also scale that scenario to many different variants.
- These generated simulation scenarios are complete with synchronized sensor data and ground-truth data like occupancy voxels.
- These simulation scenarios can be used for either training or validation.
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