18664597. GENERATING MOTION TOKENS FOR SIMULATING TRAFFIC USING MACHINE LEARNING MODELS (NVIDIA Corporation)
GENERATING MOTION TOKENS FOR SIMULATING TRAFFIC USING MACHINE LEARNING MODELS
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GENERATING MOTION TOKENS FOR SIMULATING TRAFFIC USING MACHINE LEARNING MODELS
This abstract first appeared for US patent application 18664597 titled 'GENERATING MOTION TOKENS FOR SIMULATING TRAFFIC USING MACHINE LEARNING MODELS
Original Abstract Submitted
In various examples, systems and methods are disclosed relating to generating tokens for traffic modeling. One or more circuits can identify trajectories in a dataset, and generate actions from the identified trajectories. The one or more circuits can generate, based at least on the plurality of actions and at least one trajectory of the plurality of trajectories, a set of tokens representing actions to generate trajectories of one or more agents in a simulation. The one or more circuits may update a transformer model to generate simulated actions for simulated agents based at least on tokens generated from the trajectories in the dataset.