A Base-Map-Guided Global Localization Solution for Heterogeneous Robots Using a Co-View Context Desc...
A Base-Map-Guided Global Localization Solution for Heterogeneous Robots Using a Co-View Context Descriptor
About this item
Full title
Author / Creator
Duan, Xuzhe , Wu, Meng , Xiong, Chao , Hu, Qingwu and Zhao, Pengcheng
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
With the continuous advancement of autonomous driving technology, an increasing number of high-definition (HD) maps have been generated and stored in geospatial databases. These HD maps can provide strong localization support for mobile robots equipped with light detection and ranging (LiDAR) sensors. However, the global localization of heterogeneo...
Alternative Titles
Full title
A Base-Map-Guided Global Localization Solution for Heterogeneous Robots Using a Co-View Context Descriptor
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_2a72d21e6422478fa604120a4eda6a7d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2a72d21e6422478fa604120a4eda6a7d
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs16214027
