Adversarial Fuzzer for Teleoperation Commands: Evaluating Autonomous Vehicle Resilience

Abstract

The Adversarial Scenario Fuzzer is an automated testing framework that evaluates autonomous vehicle resilience against potentially harmful teleoperation commands. While teleoperation can help resolve complex driving situations, incorrect or malicious commands pose safety risks.

The fuzzer systematically generates challenging scenarios through simulation, including:

• Malicious trajectory suggestions
• Conflicting guidance signals
• Environmental perturbations

Using iterative optimization, the fuzzer creates increasingly impactful test cases while evaluating the vehicle’s ability to reject unsafe commands. This approach helps validate the robustness of autonomous decision-making systems and ensures safety mechanisms can effectively handle adversarial inputs.