A meta-learned teacher network generates saliency maps that guide adversarial curriculum training, improving LiDAR model robustness under point-drop and Gaussian noise.
Robust localization of mobile robots considering reliability of lidar measurements,
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INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy
A meta-learned teacher network generates saliency maps that guide adversarial curriculum training, improving LiDAR model robustness under point-drop and Gaussian noise.