Monocular 3D Object Detection
| dc.contributor | Aalto-yliopisto | fi |
| dc.contributor | Aalto University | en |
| dc.contributor.advisor | Laaksonen, Jorma | |
| dc.contributor.author | Wang, Shenran | |
| dc.contributor.school | Perustieteiden korkeakoulu | fi |
| dc.contributor.supervisor | Hyvönen, Eero | |
| dc.date.accessioned | 2022-05-31T08:10:37Z | |
| dc.date.available | 2022-05-31T08:10:37Z | |
| dc.date.issued | 2022-04-16 | |
| dc.format.extent | 74 | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/114622 | |
| dc.identifier.urn | URN:NBN:fi:aalto-202205313465 | |
| dc.language.iso | en | en |
| dc.programme | Teknistieteellinen kandidaattiohjelma | fi |
| dc.programme.major | Tietotekniikka | fi |
| dc.programme.mcode | SCI3027 | fi |
| dc.subject.keyword | 3D object detection | en |
| dc.subject.keyword | monocular 3D object detection | en |
| dc.subject.keyword | computer vision | en |
| dc.subject.keyword | deep learning | en |
| dc.title | Monocular 3D Object Detection | en |
| dc.type | G1 Kandidaatintyö | fi |
| dc.type.dcmitype | text | en |
| dc.type.ontasot | Bachelor's thesis | en |
| dc.type.ontasot | Kandidaatintyö | fi |