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Conference Paper: Self-supervised depth estimation leveraging global perception and geometric smoothness using on-board videos

TitleSelf-supervised depth estimation leveraging global perception and geometric smoothness using on-board videos
Authors
JIA, SPei, XYao, WWong, SC
Issue Date2021
Citation
The 25th International Conference of Hong Kong Society for Transportation Studies: Sustainable Mobility, Hong Kong, 9-10 December 2021 How to Cite?
DescriptionSession C5: Big Data and Transportation I
Persistent Identifierhttp://hdl.handle.net/10722/309418

 

DC FieldValueLanguage
dc.contributor.authorJIA, S-
dc.contributor.authorPei, X-
dc.contributor.authorYao, W-
dc.contributor.authorWong, SC-
dc.date.accessioned2021-12-29T02:14:50Z-
dc.date.available2021-12-29T02:14:50Z-
dc.date.issued2021-
dc.identifier.citationThe 25th International Conference of Hong Kong Society for Transportation Studies: Sustainable Mobility, Hong Kong, 9-10 December 2021-
dc.identifier.urihttp://hdl.handle.net/10722/309418-
dc.descriptionSession C5: Big Data and Transportation I-
dc.languageeng-
dc.relation.ispartofThe 25th International Conference of Hong Kong Society for Transportation Studies-
dc.titleSelf-supervised depth estimation leveraging global perception and geometric smoothness using on-board videos-
dc.typeConference_Paper-
dc.identifier.emailWong, SC: hhecwsc@hku.hk-
dc.identifier.authorityWong, SC=rp00191-
dc.identifier.hkuros331190-

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