Conference Paper/Proceeding/Abstract 433 views 72 downloads
R²D-LPCC: Relevance-Ranking Guided Region-Adaptive Dynamic LiDAR Point Cloud Compression
Proceedings of the AAAI Conference on Artificial Intelligence, Volume: 40, Issue: 18, Pages: 15573 - 15581
Swansea University Author:
Gary Tam
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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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DOI (Published version): 10.1609/aaai.v40i18.38586
Abstract
R²D-LPCC: Relevance-Ranking Guided Region-Adaptive Dynamic LiDAR Point Cloud Compression
| Published in: | Proceedings of the AAAI Conference on Artificial Intelligence |
|---|---|
| ISSN: | 2159-5399 2374-3468 |
| Published: |
Association for the Advancement of Artificial Intelligence (AAAI)
2026
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa70922 |
| College: |
Faculty of Science and Engineering |
|---|---|
| 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. |
| Issue: |
18 |
| Start Page: |
15573 |
| End Page: |
15581 |

