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DOORS: Dataset fOr bOuldeRs Segmentation. Statistical properties and Blender setup. (arXiv:2210.16253v1 [cs.CV])
Oct. 31, 2022, 1:12 a.m. | Mattia Pugliatti, Francesco Topputo
cs.LG updates on arXiv.org arxiv.org
The capability to detect boulders on the surface of small bodies is
beneficial for vision-based applications such as hazard detection during
critical operations and navigation. This task is challenging due to the wide
assortment of irregular shapes, the characteristics of the boulders population,
and the rapid variability in the illumination conditions. Moreover, the lack of
publicly available labeled datasets for these applications damps the research
about data-driven algorithms. In this work, the authors provide a statistical
characterization and setup used …
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