Name
Title | ||
|---|---|---|
Metrological Characterization of a Vision-Based System for Relative Pose Measurements with Fiducial Marker Mapping for Spacecrafts. |
Abstract | ||
|---|---|---|
An improved approach for the measurement of the relative pose between a target and a chaser spacecraft is presented. The selected method is based on a single camera, which can be mounted on the chaser, and a plurality of fiducial markers, which can be mounted on the external surface of the target. The measurement procedure comprises of a closed-form solution of the Perspective from n Points (PnP) problem, a RANdom SAmple Consensus (RANSAC) procedure, a non-linear local optimization and a global Bundle Adjustment refinement of the marker map and relative poses. A metrological characterization of the measurement system is performed using an experimental set-up that can impose rotations combined with a linear translation and can measure them. The rotation and position measurement errors are calculated with reference instrumentations and their uncertainties are evaluated by the Monte Carlo method. The experimental laboratory tests highlight the significant improvements provided by the Bundle Adjustment refinement. Moreover, a set of possible influencing physical parameters are defined and their correlations with the rotation and position errors and uncertainties are analyzed. Using both numerical quantitative correlation coefficients and qualitative graphical representations, the most significant parameters for the final measurement errors and uncertainties are determined. The obtained results give clear indications and advice for the design of future measurement systems and for the selection of the marker positioning on a satellite surface. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3390/robotics7030043 | ROBOTICS |
Keywords | Field | DocType |
vision system,pose measurement,uncertainty evaluation,metrological calibration | Computer vision,Fiducial marker,Monte Carlo method,System of measurement,Machine vision,RANSAC,Bundle adjustment,Metrology,Artificial intelligence,Engineering,Observational error | Journal |
Volume | Issue | ISSN |
7 | 3.0 | 2218-6581 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marco Pertile | 1 | 8 | 2.67 |
| Sebastiano Chiodini | 2 | 2 | 1.37 |
| Riccardo Giubilato | 3 | 3 | 2.39 |
| mattia mazzucato | 4 | 0 | 0.68 |
| andrea valmorbida | 5 | 0 | 0.68 |
| Alberto Fornaser | 6 | 6 | 3.96 |
| Stefano Debei | 7 | 3 | 2.73 |
| enrico lorenzini | 8 | 0 | 0.68 |