Gm Cruise Holdings LLC

Ritchie Lee

Omnaath Guptha Harihara Gupta

Yeshaswi Laxman Menghmalani

Tools can generate simulated driving tests that allow a same driving scenario to be tested at different geographical locations and with different arrangements of simulated road user(s) and/or simulated road objects. Numerous parameters used by these tools for creating the simulated driving tests can impact the usefulness of the simulated driving tests. If the parameters are not set appropriately, the simulated driving tests may not result in critical interactions that would enable accurate assessment of vehicle software. To alleviate some of these concerns, a parameter tuning system can find optimal value ranges of parameters based on criticality scores of generated simulated driving tests, so that better simulated driving tests can be obtained.

Tuning parameters used for generating simulated driving tests

The disclosed technology provides solutions for improving simulation scenario generation and in particular, provides methods for improving the generation of simulation scenarios based on autonomous vehicle (AV) driving data. A method of the disclosed technology can include steps for receiving driving data, which includes sensor data from an AV that is descriptive of an environment around the AV, identifying a vehicle in the environment based on the driving data, generating a synthetic driving scenario emulating the environment based on the driving data, and identifying a trajectory of the vehicle in the synthetic driving scenario. The method can further include steps for replacing the vehicle with the AV in the synthetic driving scenario by simulating navigation of the AV in the synthetic driving scenario along the identified trajectory. Systems and machine-readable media are also provided.

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Sunnyvale, CA, United States of America

Ritchie Lee