3D Point Cloud Object Detection Method Based on Multi-Scale Dynamic Sparse Voxelization.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/sensors/WangLZWZ24
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Value
dcterms:
bibliographicCitation
<
http://dblp.uni-trier.de/rec/bibtex/journals/sensors/WangLZWZ24
>
dc:
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https://dblp.l3s.de/d2r/resource/authors/Dong_Wang
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dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Jiayu_Wang
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dc:
creator
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https://dblp.l3s.de/d2r/resource/authors/Ye_Liu
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https://dblp.l3s.de/d2r/resource/authors/Yongjian_Zhu
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foaf:
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dc:
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dc:
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DOI doi.org%2F10.3390%2Fs24061804
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dcterms:
issued
2024
(xsd:gYear)
swrc:
journal
<
https://dblp.l3s.de/d2r/resource/journals/sensors
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rdfs:
label
3D Point Cloud Object Detection Method Based on Multi-Scale Dynamic Sparse Voxelization.
(xsd:string)
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Dong_Wang
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foaf:
maker
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foaf:
maker
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foaf:
maker
<
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foaf:
maker
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swrc:
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March
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swrc:
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6
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swrc:
pages
1804
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rdfs:
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rdfs:
seeAlso
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https://doi.org/10.3390/s24061804
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dc:
title
3D Point Cloud Object Detection Method Based on Multi-Scale Dynamic Sparse Voxelization.
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dc:
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<
http://purl.org/dc/dcmitype/Text
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rdf:
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swrc:Article
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foaf:Document
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24
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