Camera LiDAR active learning for object detecting deep neural networks
| dc.contributor.author | Gunnargård, Alfred | |
| dc.contributor.author | Odin, Daniel | |
| dc.contributor.department | Chalmers tekniska högskola / Institutionen för elektroteknik | sv |
| dc.contributor.examiner | Svensson, Lennart | |
| dc.date.accessioned | 2020-07-03T13:09:54Z | |
| dc.date.available | 2020-07-03T13:09:54Z | |
| dc.date.issued | 2020 | sv |
| dc.date.submitted | 2020 | |
| dc.identifier.coursecode | EENX30 | sv |
| dc.identifier.uri | https://hdl.handle.net/20.500.12380/301280 | |
| dc.language.iso | eng | sv |
| dc.setspec.uppsok | Technology | |
| dc.title | Camera LiDAR active learning for object detecting deep neural networks | sv |
| dc.type.degree | Examensarbete för masterexamen | sv |
| dc.type.uppsok | H | |
| local.programme | Computer science – algorithms, languages and logic (MPALG), MSc |