This dataset only includes the post-processed landing trajectory of Chang'e 3, but does not include the orginal Chang'e 3 images.
The images dataset is processed and produced by “Ground Research and Application System”(GRAS)of China’s Lunar and Planetary Exploration Program, provided by China National Space Administration. It is not re-distributed by ESA, but it can be downloaded at http://moon.bao.ac.cn/ce5web/. We thank the Chang'E-3 payload team for mission operations and China National Space Administration for providing the Chang'E-3 data that made the generation of other datasets possible.
This dataset contains images acquired in the DLR's TRON facility that replicate the Chang'e 3 descent and landing trajectory on a scaled terrain model.
Number of images: 3658
Data source: DLR's TRON facility
This dataset is a collection of random image pairs acquired in the TRON facility. It can be used to test dense or sparse optical flow and/or feature tracking algorithms.
Number of images: 7238
Data source: DLR's TRON facility
This dataset contains 3655 synthetic images replicating Chang'e 3 trajectory and using a medium definition terrain model.
Number of images: 3655
Data source: SurRender software
This dataset contains 3655 synthetic images replicating Chang'e 3 trajectory and using a high definition terrain model.
Number of images: 3655
Data source: SurRender software
This dataset contains 3655 synthetic images replicating Chang'e 3 trajectory and using a high definition terrain model complemented with procedural details.
Number of images: 3655
Data source: SurRender software
This dataset contains synthetic images for three exemplary descent and landing trajectories with different time of flights, and using a high definition terrain model.
Number of images: 6661 (slow), 5591 (med), 3736 (fast)
Data source: SurRender software
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These datasets and the related documentation were produced as part of ESA Contract No. 4000137956/22/NL/CRS.
If you are using these datasets in your work, consider citing our paper:
Citation: J. Lebreton, I. Ahrns, R. Brochard, C. Haskamp, M. Le Goff, N. Menga, N. Ollagnier, R. Regele, F. Capolupo, M. Casasco, Training Datasets Generation for Machine Learning: Application to Vision-Based Navigation, SPAICE Conference 2024.