RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation

Li, L.; Shum, H. P. H.; Breckon, T. P.

doi:10.1007/978-3-031-72667-5_13

RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation

Li, L.; Shum, H. P. H.; Breckon, T. P.

Authors

L. Li

Professor Hubert Shum hubert.shum@durham.ac.uk
Professor

Professor Toby Breckon toby.breckon@durham.ac.uk
Professor

Citation

Li, L., Shum, H. P. H., & Breckon, T. P. (2024, September). RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation. Presented at ECCV 2024: European Conference on Computer Vision, Milan, Italy

Presentation Conference Type	Conference Paper (published)
Conference Name	ECCV 2024: European Conference on Computer Vision
Start Date	Sep 29, 2024
End Date	Oct 5, 2024
Acceptance Date	Jun 1, 2024
Online Publication Date	Sep 29, 2024
Publication Date	Sep 29, 2024
Deposit Date	Jul 23, 2024
Publicly Available Date	Sep 29, 2024
Journal	European Conference on Computer Vision (ECCV)
Publisher	Springer
Peer Reviewed	Peer Reviewed
Pages	222-241
Series Title	Lecture Notes in Computer Science
Series ISSN	0302-9743
Book Title	Computer Vision – ECCV 2024
DOI	https://doi.org/10.1007/978-3-031-72667-5_13
Keywords	autonomous driving, LiDAR, semantic segmentation, 3D feature points
Public URL	https://durham-repository.worktribe.com/output/2610751
Related Public URLs	https://breckon.org/toby/publications/papers/li24rapid-seg.pdf

Files

Accepted Conference Paper (10.1 Mb)
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
This accepted manuscript is licensed under the Creative Commons Attribution 4.0 licence. https://creativecommons.org/licenses/by/4.0/