The disclosed technology provides solutions for improving simulation generation, and in particular for diagnosing problems with a simulation renderer configured to generate simulated (or synthetic) environments for use in autonomous vehicle (AV) testing and training. In some aspects, a process of the disclosed technology includes steps for receiving a set of divergence metrics, wherein the divergence metrics comprise performance statistics for one or more components of a simulation renderer, providing the divergence metrics to a machine-learning model, and identifying, using an attribution tool, one or more components of the simulation renderer that contributed to the AV pose divergence based on one or more weights of the machine-learning model. Systems and machine-readable media are also provided.
ATTRIBUTING SIMULATION GAPS TO INDIVIDUAL SIMULATION COMPONENTS
2024-07-04
Patent
Elektronische Ressource
Englisch