Vision-based localization of the center of mass of large space debris via statistical shape analysis Article Swipe
Gabriele Biondi
,
Stefano Mauro
,
Stefano Pastorelli
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/882/1/012001
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/882/1/012001
The current overpopulation of artificial objects orbiting the Earth has increased the interest of the space agencies on planning missions for de-orbiting the largest inoperative satellites. Since this kind of operations involves the capture of the debris, the accurate knowledge of the position of their center of mass is a fundamental safety requirement. As ground observations are not sufficient to reach the required accuracy level, this information should be acquired in situ just before any contact between the chaser and the target. Some estimation methods in the literature rely on the usage of stereo cameras for tracking several features of the target surface. The actual positions of these features are estimated together with the location of the center of mass by state observers. The principal drawback of these methods is related to possible sudden disappearances of one or more features from the field of view of the cameras. An alternative method based on 3D Kinematic registration is presented in this paper. The method, which does not suffer of the mentioned drawback, considers a preliminary reduction of the inaccuracies in detecting features by the usage of statistical shape analysis.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/882/1/012001
- OA Status
- diamond
- Cited By
- 2
- References
- 11
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2753809233
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https://openalex.org/W2753809233Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1742-6596/882/1/012001Digital Object Identifier
- Title
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Vision-based localization of the center of mass of large space debris via statistical shape analysisWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2017Year of publication
- Publication date
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2017-08-01Full publication date if available
- Authors
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Gabriele Biondi, Stefano Mauro, Stefano PastorelliList of authors in order
- Landing page
-
https://doi.org/10.1088/1742-6596/882/1/012001Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
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https://doi.org/10.1088/1742-6596/882/1/012001Direct OA link when available
- Concepts
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Computer science, Position (finance), Space debris, Artificial intelligence, Kinematics, Computer vision, Overpopulation, Center of mass (relativistic), Remote sensing, Debris, Geology, Population, Geography, Physics, Meteorology, Energy–momentum relation, Economics, Demography, Sociology, Finance, Classical mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
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2020: 1, 2018: 1Per-year citation counts (last 5 years)
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11Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5080857599 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I177477856 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/11 |
| sustainable_development_goals[0].score | 0.6899999976158142 |
| sustainable_development_goals[0].display_name | Sustainable cities and communities |
| citation_normalized_percentile.value | 0.83478529 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |