Testing the Fault-Tolerance of Multi-Sensor Fusion Perception in Autonomous Driving Systems

Overview

FADE injects modeled camera and LiDAR faults and uses feedback-guided differential fuzzing to expose system-level safety violations. Apollo evaluations and physical vehicle experiments examine how fusion failures influence driving behavior.