System and method for full-stack verification of autonomous agents

摘要

A method for full-stack verification of autonomous agents includes training a neural network to learn a noise model associated with an object detection module of an autonomous agent system of an autonomous vehicle. The method also includes replacing the object detection module of the autonomous agent system with the neural network and a sensory input of the object detection module with ground truth information to apply a surrogate function to the ground truth information. The method further includes verifying the autonomous agent system including the trained neural network to apply the surrogate function in response to the ground truth information to simulate sensor information data to at least a planner module of the autonomous agent system. The method also includes controlling a behavior of the autonomous vehicle using the verified autonomous agent system including the object detection module.