Importance

Loading Importance Indicators...

Abstract

Systems and methods for generating adversarial driving scenarios for autonomous vehicles. An artificial intelligence model can compute an adversarial loss function by minimizing the distance between predicted adversarial perturbed trajectories and corresponding generated neighbor future trajectories from input data. A traffic violation loss function can be computed based on observed adversarial agents adhering to driving rules from the input data. A comfort loss function can be computed based on the predicted driving characteristics of adversarial vehicles relevant to comfort of hypothetical passengers from the input data. A planner module can be trained for autonomous vehicles based on a combined loss function of the adversarial loss function, the traffic violation loss function and the comfort loss function to generate adversarial driving scenarios. An autonomous vehicle can be controlled based on trajectories generated in the adversarial driving scenarios.

Loading the Abstract Image...

First Claim