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University of Technology Sydney
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Autonomous vehicles can maintain millimeter-wave beam alignment even when critical sensors drop out by leveraging generative cross-modal reconstruction across camera, LiDAR, and radar feeds.
You can now achieve significant gains in ISAC system security without needing explicit eavesdropper information, thanks to a novel deep learning-driven friendly jamming approach that leverages radar echo feedback.
