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 |
20191116/night_2019-01-16-20-15-09.bag | 2.24GB |
20191116/night_2019-01-16-20-10-56.bag | 2.52GB |
20191116/night_2019-01-16-20-05-58.bag | 2.26GB |
20191116/night_2019-01-16-20-03-51.bag | 3.03GB |
20191116/night_2019-01-16-20-03-05.bag | 766.04MB |
20191116/night_2019-01-16-20-01-38.bag | 664.32MB |
20191116/night_2019-01-16-19-59-22.bag | 3.33GB |
20191116/night_2019-01-16-19-42-40.bag | 1.66GB |
20191116/night_2019-01-16-19-40-57.bag | 490.17MB |
20191116/night_2019-01-16-19-36-30.bag | 3.84GB |
20191116/night_2019-01-16-19-33-28.bag | 2.82GB |
20191116/night_2019-01-16-19-32-06.bag | 1.23GB |
20191116/night_2019-01-16-19-30-20.bag | 2.64GB |
20191116/night_2019-01-16-19-28-40.bag | 2.16GB |
20191116/night_2019-01-16-19-26-02.bag | 966.63MB |
20191116/night_2019-01-16-19-23-41.bag | 3.09GB |
20191116/night_2019-01-16-19-22-12.bag | 2.17GB |
20191116/night_2019-01-16-19-20-40.bag | 2.17GB |
20191116/night_2019-01-16-19-18-55.bag | 1.53GB |
20190111/day_sunny_2019-01-11-11-24-55.bag | 5.85GB |
20190111/day_sunny_2019-01-11-11-23-47.bag | 1.53GB |
20190111/day_sunny_2019-01-11-11-22-15.bag | 2.56GB |
20190111/day_sunny_2019-01-11-11-17-53.bag | 5.77GB |
20190111/day_sunny_2019-01-11-11-16-14.bag | 1.19GB |
20190111/day_sunny_2019-01-11-11-14-26.bag | 2.69GB |
20190111/day_sunny_2019-01-11-11-12-29.bag | 1.97GB |
20190111/day_sunny_2019-01-11-11-08-40.bag | 950.78MB |
20190111/day_sunny_2019-01-11-10-59-53.bag | 1.24GB |
20190111/day_sunny_2019-01-11-10-58-17.bag | 967.31MB |
20190111/day_sunny_2019-01-11-10-54-20.bag | 3.98GB |
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 |
20190111/day_sunny_2019-01-11-10-45-26.bag | 3.24GB |
20190111/day_sunny_2019-01-11-10-43-25.bag | 2.79GB |
20190111/day_sunny_2019-01-11-10-42-43.bag | 980.69MB |
20190111/day_sunny_2019-01-11-10-41-16.bag | 1.79GB |
20190111/day_sunny_2019-01-11-10-38-51.bag | 3.62GB |
20190111/day_sunny_2019-01-11-10-33-22.bag | 8.72GB |
20190111/day_sunny_2019-01-11-10-31-37.bag | 2.72GB |
20190111/day_sunny_2019-01-11-10-30-08.bag | 2.13GB |
20181122/day_cloudy_2018-11-22-11-50-22.bag | 1.78GB |
20181122/day_cloudy_2018-11-22-11-46-12.bag | 3.04GB |
20181122/day_cloudy_2018-11-22-11-44-29.bag | 1.02GB |
20181122/day_cloudy_2018-11-22-11-43-34.bag | 728.21MB |
20181122/day_cloudy_2018-11-22-11-42-00.bag | 2.13GB |
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= {} }
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