ML Anthology

CubeSat-CDT: A Cross-Domain Dataset for 6-DoF Trajectory Estimation of a Symmetric Spacecraft

Mohamed Adel Musallam, Arunkumar Rathinam, Vincent Gaudillière, Miguel Ortiz del Castillo, Djamila Aouada
ECCVW 2022 pp. 112-126
doi:10.1007/978-3-031-25056-9_8 /eccvw/2022/musallam2022eccvw-cubesatcdt/
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Cite

Text

Musallam et al. "CubeSat-CDT: A Cross-Domain Dataset for 6-DoF Trajectory Estimation of a Symmetric Spacecraft." European Conference on Computer Vision Workshops, 2022. doi:10.1007/978-3-031-25056-9_8

Markdown

[Musallam et al. "CubeSat-CDT: A Cross-Domain Dataset for 6-DoF Trajectory Estimation of a Symmetric Spacecraft." European Conference on Computer Vision Workshops, 2022.](https://mlanthology.org/eccvw/2022/musallam2022eccvw-cubesatcdt/) doi:10.1007/978-3-031-25056-9_8

BibTeX

@inproceedings{musallam2022eccvw-cubesatcdt,
  title     = {{CubeSat-CDT: A Cross-Domain Dataset for 6-DoF Trajectory Estimation of a Symmetric Spacecraft}},
  author    = {Musallam, Mohamed Adel and Rathinam, Arunkumar and Gaudillière, Vincent and del Castillo, Miguel Ortiz and Aouada, Djamila},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2022},
  pages     = {112-126},
  doi       = {10.1007/978-3-031-25056-9_8},
  url       = {https://mlanthology.org/eccvw/2022/musallam2022eccvw-cubesatcdt/}
}