Conference Paper/Proceeding/Abstract 189 views 1 download
R²D-LPCC: Relevance-Ranking Guided Region-Adaptive Dynamic LiDAR Point Cloud Compression
Fangzhe Nan,
Frederick W. B. Li,
Gary Tam 
,
Zhaoyi Jiang,
Bailin Yang,
Jingke Cui,
Changshuo Wang
,
Zhaoyi Jiang,
Bailin Yang,
Jingke Cui,
Changshuo Wang
AAAI Conference on Artificial Intelligence 2026
Swansea University Author:
Gary Tam
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PDF | Accepted Manuscript
Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention).
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Abstract
R²D-LPCC: Relevance-Ranking Guided Region-Adaptive Dynamic LiDAR Point Cloud Compression
| Published in: | AAAI Conference on Artificial Intelligence 2026 |
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| Published: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa70922 |
| College: |
Faculty of Science and Engineering |
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| Funders: |
This work was supported in part by the National Natural Science Foundation (Grant No. 62172366), the Zhejiang Province Natural Science Foundation (Grant No. LD24F020003), and the European Union’s Horizon 2024 Research and Innovation Programme for the Marie Skłodowska-Curie Actions (Grant No. 101211118). Gary Tam is supported by the Royal Society grant IEC/NS-FC/211159. |