The disclosed technology provides solutions for measuring sensor realism (or fidelity) and in particular, provides methods for quantitatively evaluating the fidelity of sensor data collected using a simulated (virtual) environment. In some aspects, a process of the disclosed technology includes steps for receiving simulation training data, providing the simulation training data to an encoder neural-network to generate a plurality of simulation embeddings, and generating a first cluster based on the plurality of simulation embeddings. The process can further include steps for receiving real-world training data, providing the real-world training data to the encoder neural-network to generate a plurality of real-world embeddings, and generating a second cluster based on the plurality of real-world embeddings. Systems and machine-readable media are also provided.
MEASURING SIMULATION REALISM
2024-05-23
Patent
Electronic Resource
English
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