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Fractured Glass, Failing Cameras: Simulating Physics-Based Adversarial Samples for Autonomous Driving Systems

arXiv — cs.CV•Monday, November 17, 2025 at 5:00:00 AM
NeutralArtificial Intelligence
- The study investigates the impact of physical failures in camera systems on autonomous vehicles, revealing that glass failures can disrupt neural network models responsible for detection. This research is vital as it underscores the potential safety risks associated with camera malfunctions, which can compromise the reliability of autonomous driving technologies. Although no related articles were identified, the focus on generating physics-based adversarial samples aligns with ongoing discussions in the field about enhancing the safety and robustness of AI systems in autonomous vehicles.
— via World Pulse Now AI Editorial System
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