Over-the-Air Learning-based Geometry Point Cloud Transmission

3D point cloud is a three-dimensional data format generated by LiDARs and depth sensors, and is being increasingly used in a large variety of applications from autonomous vehicles to robotics and metaverse. This paper presents novel solutions for the efficient and reliable transmission of point clou...

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Veröffentlicht in:	IEEE journal on selected areas in communications S. 1
Hauptverfasser:	Bian, Chenghong, Shao, Yulin, Gunduz, Deniz
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 2025
Schlagworte:	Decoding Deep joint source channel coding (DeepJSCC) Feature extraction Image reconstruction Neural networks Neural radiance field neural radiance field (NeRF) over-the-air point cloud Point cloud compression Three-dimensional displays Transformers Vectors Wireless communication
ISSN:	0733-8716, 1558-0008
Online-Zugang:	Volltext
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