POSITION AND ORIENTATION MEASUREMENT FOR AUTONOMOUS AERIAL REFUELING BASED ON MONOCULAR VISION
Why this work is in the frame
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Bibliographic record
Abstract
Combined with the 3D model of aerial refuelling drogue target, this paper proposes a method for measuring the position and orientation based on monocular vision. The shape of the drogue's inner dark part is circular and its image is a circle or an ellipse in the image space. The contour points of the dark part are extracted in the image space and the adaptive elliptical parameter extraction algorithm based on RANSAC is adopted to get the parameters of the ellipse in the image space. Based on the principle of pinhole imaging and the dimension of the drogue's dark part, a visual cone is established and the position and orientation of the drogue's inner dark part can be deduced by using the geometric relationships. The experiments for measuring the drogue's position and orientation are carried on in a platform composed of two KUKA robots, and the experiment results verify the effectiveness of the proposed method.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it