LPC-FT transmits LiDAR point clouds as compressed learned features over digital channels and, in OpV2V experiments, reduces Chamfer Distance by 30% and raises PSNR by 1.9 dB versus the SEPT baseline.
Performa nce limits of a deep learning-enabled text semantic communicat ion under interference,
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Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception
LPC-FT transmits LiDAR point clouds as compressed learned features over digital channels and, in OpV2V experiments, reduces Chamfer Distance by 30% and raises PSNR by 1.9 dB versus the SEPT baseline.