Inverted AI's AV 3.0 approach accelerates AV 2.0 improvement via AV 1.0 planning of solutions to difficult driving scenarios coupled with video diffusion model world knowledge.

Solution Augmentation

What do you do with interventions even in massive fleet operations? Rebalancing training data by harvesting correct fleet driving in similar scenarios is maybe an option, but not if that scenario is truly uncommon or dangerous. With Inverted AI's models you can initialize the concrete scenario just prior to the disengagement then simulate a correct solution in the object-list AV 1.0 representation. Simulating sensors using, i.e. NVIDIA Cosmos completes the loop.

Fleetless AV 2.0

Don't have a fleet? Use Inverted AI's vast and ever-growing collection of nearly noise-free log data and APIs to stand up an unparalleled synthetic data generation pipeline.

Request the application note Solving Scenarios for Next-Generation AV 3.0 Simulation to learn how Inverted AI is providing a unique solution for AV 2.0 developers by generating cost effective driving solutions to difficult and uncommon scenarios.

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