SegMarsViT: Lightweight Mars Terrain Segmentation Network for Autonomous Driving in Planetary Explor...
SegMarsViT: Lightweight Mars Terrain Segmentation Network for Autonomous Driving in Planetary Exploration
About this item
Full title
Author / Creator
Dai, Yuqi , Zheng, Tie , Xue, Changbin and Zhou, Li
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
Planetary rover systems need to perform terrain segmentation to identify feasible driving areas and surround obstacles, which falls into the research area of semantic segmentation. Recently, deep learning (DL)-based methods were proposed and achieved great performance for semantic segmentation. However, due to the on-board processor platform’s stri...
Alternative Titles
Full title
SegMarsViT: Lightweight Mars Terrain Segmentation Network for Autonomous Driving in Planetary Exploration
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_38708a7b5717411c88ab3da0fd5239a6
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_38708a7b5717411c88ab3da0fd5239a6
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs14246297
