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Anomaly detection and fallback mechanisms can keep autonomous vehicles running even when attackers blind cameras or tamper with software.
Autonomous vehicles can achieve 35% more accurate distance estimation under sensor corruption by fusing depth camera, LiDAR, and kinematic data in a real-time correction framework.