Exploring Lidar Resilience: A Review of Spoofing Threats in Autonomous Driving

Autonomous Driving Systems heavily rely on Lidar for tasks like mapping, localization, and object detection, especially in GNSS-denied environments. However, these systems remain vulnerable to cyberattacks, including spoofing and interference, due to Lidar’s inherent limitations. This paper highlights the need for resilience in safety critical applications where navigation integrity and continuity needs to be maintained even under adversarial conditions. We survey Lidar vulnerabilities, explore spoofing attack mechanisms, and outline future work on mitigation strategies, such as spoofing detection and system augmentation, to enhance the reliability of these systems.