Multi-Source Temporal-Depth fusion for robust end-to-End visual odometry.
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| Title: | Multi-Source Temporal-Depth fusion for robust end-to-End visual odometry. |
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| Authors: | Zhang S; School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, PR China; School of Computer Science, Northwestern Polytechnical University, Xi'an, PR China., Cao C; School of Computer Science, Northwestern Polytechnical University, Xi'an, PR China., Gao Q; General Department IV, Xi'an, Institute of Applied Optics, Xi'an, PR China., Liu G; School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, PR China. Electronic address: liuganchao@nwpu.edu.cn. |
| Source: | Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2026 Jun; Vol. 198, pp. 108598. Date of Electronic Publication: 2026 Jan 17. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2782 (Electronic) Linking ISSN: 08936080 NLM ISO Abbreviation: Neural Netw Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41576558 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Multi-Source Temporal-Depth fusion for robust end-to-End visual odometry. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zhang+S%22">Zhang S</searchLink>; School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, PR China; School of Computer Science, Northwestern Polytechnical University, Xi'an, PR China.<br /><searchLink fieldCode="AU" term="%22Cao+C%22">Cao C</searchLink>; School of Computer Science, Northwestern Polytechnical University, Xi'an, PR China.<br /><searchLink fieldCode="AU" term="%22Gao+Q%22">Gao Q</searchLink>; General Department IV, Xi'an, Institute of Applied Optics, Xi'an, PR China.<br /><searchLink fieldCode="AU" term="%22Liu+G%22">Liu G</searchLink>; School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, PR China. Electronic address: liuganchao@nwpu.edu.cn. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228805018%22">Neural networks : the official journal of the International Neural Network Society</searchLink> [Neural Netw] 2026 Jun; Vol. 198, pp. 108598. <i>Date of Electronic Publication: </i>2026 Jan 17. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Pergamon+Press%22">Pergamon Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8805018 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-2782 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208936080%22">08936080 </searchLink><i>NLM ISO Abbreviation: </i>Neural Netw <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41576558 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.neunet.2026.108598 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 108598 Titles: – TitleFull: Multi-Source Temporal-Depth fusion for robust end-to-End visual odometry. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang S – PersonEntity: Name: NameFull: Cao C – PersonEntity: Name: NameFull: Gao Q – PersonEntity: Name: NameFull: Liu G IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2026 Jun Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1879-2782 Numbering: – Type: volume Value: 198 Titles: – TitleFull: Neural networks : the official journal of the International Neural Network Society Type: main |
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