Info hash | e07e134eb9149983583d6aab3f033a90769bbc60 |
Last mirror activity | 1787d,00:17:42 ago |
Size | 351.94GB (351,935,869,961 bytes) |
Added | 2020-01-23 08:21:41 |
Views | 411 |
Hits | 400 |
ID | 4382 |
Type | multi |
Downloaded | 0 time(s) |
Uploaded by | alezana |
Folder | rosbags-rss19-academictorrent |
Num files | 141 files [See full list] |
Mirrors | 0 complete, 0 downloading = 0 mirror(s) total [Log in to see full list] |
rosbags-rss19-academictorrent (141 files)
dataset.yaml | 5.19kB |
20191116/night_2019-01-16-20-19-16.bag | 1.85GB |
20191116/night_2019-01-16-20-17-04.bag | 2.59GB |
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20190111/day_sunny_2019-01-11-10-52-41.bag | 2.12GB |
20190111/day_sunny_2019-01-11-10-50-32.bag | 2.99GB |
20190111/day_sunny_2019-01-11-10-47-21.bag | 848.22MB |
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Type: Dataset
Tags:
Bibtex:
Tags:
Bibtex:
@article{, title= {Cross-Modal Learning Filters for RGB-Neuromorphic Wormhole Learning}, year= {2019}, journal= {Robotics: science and systems}, author= {Zanardi, Alessandro and Aumiller, Andreas and Zilly, Julian and Censi, Andrea and Frazzoli, Emilio}, url= {https://www.research-collection.ethz.ch/handle/20.500.11850/349414}, abstract= {}, keywords= {}, terms= {}, license= {}, superseded= {} }