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cs.CR2025
Asymmetry Vulnerability and Physical Attacks on Online Map Construction for Autonomous Driving
Yang Lou, Haibo Hu, Qun Song +5
High-definition maps provide precise environmental information essential for prediction and planning in autonomous driving systems. Due to the high cost of labeling and maintenance…
cs.CR2024
ICSFuzz: Collision Detector Bug Discovery in Autonomous Driving Simulators
Weiwei Fu, Heqing Huang, Yifan Zhang +4
With the increasing adoption of autonomous vehicles, ensuring the reliability of autonomous driving systems (ADSs) deployed on autonomous vehicles has become a significant concern.…
cs.CR2024
A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving
Yang Lou, Yi Zhu, Qun Song +4
Trajectory prediction forecasts nearby agents' moves based on their historical trajectories. Accurate trajectory prediction is crucial for autonomous vehicles. Existing attacks com…