Evaluating 3D local descriptors and recursive filtering schemes for LIDAR-based uncooperative relative space navigation
- Submitting institution
-
City, University of London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 477
- Type
- D - Journal article
- DOI
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10.1002/rob.21904
- Title of journal
- Journal of Field Robotics
- Article number
- -
- First page
- 848
- Volume
- 37
- Issue
- 5
- ISSN
- 1556-4959
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- We developed in this paper a new LIDAR based 3D relative navigation solution for space orbital application scenarios such as space rendezvous for active debris removal problems. The work was undertaken in consultation with ESA and using the data generated by Thales Alenia Space for an H2020 Space Robotics program. The presented method has been proven to have superior performance results in terms of relative pose estimation accuracy compared to all the existing space rendezvous relative navigation solutions. Indeed, the paper demonstrated that the proposed architecture is 50% more accurate compared to current solutions
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
