A Semi-Supervised Domain Adaptation Method for Sim2Real Object Detection in Autonomous Mining Trucks
A Semi-Supervised Domain Adaptation Method for Sim2Real Object Detection in Autonomous Mining Trucks
About this item
Full title
Author / Creator
Guo, Lunfeng , Guo, Yinan , Liu, Jiayin , Zhang, Yizhe , Song, Zhe , Zhang, Xuedong and Liu, Huajie
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
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More information
Scope and Contents
Contents
In open-pit mining, autonomous trucks are essential for enhancing both safety and productivity. Object detection technology is critical to their smooth and secure operation, but training these models requires large amounts of high-quality annotated data representing various conditions. It is expensive and time-consuming to collect these data during...
Alternative Titles
Full title
A Semi-Supervised Domain Adaptation Method for Sim2Real Object Detection in Autonomous Mining Trucks
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_783d3013c32a4117ae8befed0723db0e
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_783d3013c32a4117ae8befed0723db0e
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s25051425
