Multi-scale sparse convolution and point convolution adaptive fusion point cloud semantic segmentati...
Multi-scale sparse convolution and point convolution adaptive fusion point cloud semantic segmentation method
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Author / Creator
Bi, Yuxuan , Liu, Peng , Zhang, Tianyi , Shi, Jialin and Wang, Caixia
Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
Semantic segmentation of LIDAR point clouds is essential for autonomous driving. However, current methods often suffer from low segmentation accuracy and feature redundancy. To address these issues, this paper proposes a novel approach based on adaptive fusion of multi-scale sparse convolution and point convolution. First, addressing the drawbacks...
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Full title
Multi-scale sparse convolution and point convolution adaptive fusion point cloud semantic segmentation method
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TN_cdi_doaj_primary_oai_doaj_org_article_592b6f67b78846ac9b00063d2a86a726
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_592b6f67b78846ac9b00063d2a86a726
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-025-88905-5
