Deep learning based 2D and 3D joint object detection with camera and LIDAR for ADAS and AD
dc.contributor.author | Xue, Di | |
dc.contributor.author | Yang, Peizheng | |
dc.contributor.department | Chalmers tekniska högskola / Institutionen för elektroteknik | sv |
dc.contributor.examiner | Graell I Amat, Alexandre | |
dc.date.accessioned | 2020-11-12T12:54:02Z | |
dc.date.available | 2020-11-12T12:54:02Z | |
dc.date.issued | 2020 | sv |
dc.date.submitted | 2020 | |
dc.identifier.coursecode | EENX30 | sv |
dc.identifier.uri | https://hdl.handle.net/20.500.12380/302046 | |
dc.language.iso | eng | sv |
dc.setspec.uppsok | Technology | |
dc.title | Deep learning based 2D and 3D joint object detection with camera and LIDAR for ADAS and AD | sv |
dc.type.degree | Examensarbete för masterexamen | sv |
dc.type.uppsok | H |