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RGB‐D road segmentation based on cross‐modality feature maintenance and encouragement

RGB‐D road segmentation based on cross‐modality feature maintenance and encouragement

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9d8d1d53be7e4db693a23bc799dcd0e8

RGB‐D road segmentation based on cross‐modality feature maintenance and encouragement

About this item

Full title

RGB‐D road segmentation based on cross‐modality feature maintenance and encouragement

Publisher

John Wiley & Sons, Inc

Journal title

IET Intelligent Transport Systems, 2024-07, Vol.18 (7), p.1355-1368

Language

English

Formats

Publication information

Publisher

John Wiley & Sons, Inc

More information

Scope and Contents

Contents

Deep images can provide rich spatial structure information, which can effectively exclude the interference of illumination and road texture in road scene segmentation and make better use of the prior knowledge of road area. This paper first proposes a new cross‐modal feature maintenance and encouragement network. It includes a quantization statisti...

Alternative Titles

Full title

RGB‐D road segmentation based on cross‐modality feature maintenance and encouragement

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_9d8d1d53be7e4db693a23bc799dcd0e8

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9d8d1d53be7e4db693a23bc799dcd0e8

Other Identifiers

ISSN

1751-956X

E-ISSN

1751-9578

DOI

10.1049/itr2.12515

How to access this item