A Lightweight Direction-Aware Self-Supervised Monocular Depth Estimation Method for UAVs.
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| Title: | A Lightweight Direction-Aware Self-Supervised Monocular Depth Estimation Method for UAVs. |
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| Authors: | Zeng, Zixuan1,2, Li, Jingyu1,2, Wu, Zhiguo1, wu78zg@163.com |
| Source: | Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 11, p5229, 18p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 194779826 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Lightweight Direction-Aware Self-Supervised Monocular Depth Estimation Method for UAVs. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zeng%2C+Zixuan%22">Zeng, Zixuan</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Jingyu%22">Li, Jingyu</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Wu%2C+Zhiguo%22">Wu, Zhiguo</searchLink><relatesTo>1</relatesTo>, <i>wu78zg@163.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Jun2026, Vol. 16 Issue 11, p5229, 18p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194779826 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app16115229 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 5229 Titles: – TitleFull: A Lightweight Direction-Aware Self-Supervised Monocular Depth Estimation Method for UAVs. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zeng, Zixuan – PersonEntity: Name: NameFull: Li, Jingyu – PersonEntity: Name: NameFull: Wu, Zhiguo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 16 – Type: issue Value: 11 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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