CPC G06F 30/20 (2020.01) [G06F 30/15 (2020.01); G06N 7/01 (2023.01)] | 20 Claims |
1. A method comprising:
generating a simulation comprising a simulated environment and a simulated object;
controlling a simulated autonomous vehicle to traverse the simulated environment based at least in part on a configuration of a component of the simulated autonomous vehicle;
determining an error distribution by a perception component error model based at least in part on a state of the simulated object during the simulation, wherein the perception component error model is trained based at least in part on an object detection determined by a perception component using sensor data and wherein the error distribution comprises a plurality of contours around the simulated object;
determining, based at least in part on the error distribution, a maximum probability of an intersection of the simulated autonomous vehicle with the simulated object; and
determining, based at least in part on the maximum probability, a performance metric associated with the configuration.
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