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.
Wireless 3d point cloud delivery using deep graph neural networks,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
eess.SP 1years
2025 1verdicts
CONDITIONAL 1roles
method 1polarities
support 1representative citing papers
citing papers explorer
-
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.