Pedestrian Intent Prediction Using Deep Machine Learning
dc.contributor.author | Bapu Sridhar, Sourab | |
dc.contributor.author | Moosakhanian, Aren | |
dc.contributor.department | Chalmers tekniska högskola / Institutionen för elektroteknik | sv |
dc.contributor.examiner | Chen, Jiajia | |
dc.contributor.supervisor | Chen, Jiajia | |
dc.date.accessioned | 2021-12-21T08:11:28Z | |
dc.date.available | 2021-12-21T08:11:28Z | |
dc.date.issued | 2020 | sv |
dc.date.submitted | 2020 | |
dc.identifier.coursecode | EENX30 | sv |
dc.identifier.uri | https://hdl.handle.net/20.500.12380/304414 | |
dc.language.iso | eng | sv |
dc.setspec.uppsok | Technology | |
dc.title | Pedestrian Intent Prediction Using Deep Machine Learning | sv |
dc.type.degree | Examensarbete för masterexamen | sv |
dc.type.uppsok | H | |
local.programme | Systems, control and mechatronics (MPSYS), MSc |
Ladda ner
Original bundle
1 - 1 av 1
Hämtar...
- Namn:
- Master_Thesis_Final_Report_Aren_and_Sourab.pdf
- Storlek:
- 3.35 MB
- Format:
- Adobe Portable Document Format
- Beskrivning:
- Full text
License bundle
1 - 1 av 1
Hämtar...
- Namn:
- license.txt
- Storlek:
- 1.51 KB
- Format:
- Item-specific license agreed upon to submission
- Beskrivning: