New method for magnetometers based orientation estimation
Why this work is in the frame
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Bibliographic record
Abstract
Low cost magnetometers can be used for estimating the orientation with respect to the magnetic North. Although magnetometers work very well in clean magnetic environments like in the outdoors, they are strongly influenced by magnetic perturbations produced by manmade infrastructure in the indoors. Calibration techniques exist that can be used to compensate for these perturbations only if they are constant and associated with the navigation platform itself. But in the indoors, these perturbations vary spatially and render the previously available calibration techniques useless. In this paper, we present a new calibration technique that can be used to compensate for the varying magnetic perturbations on the host platform with better accuracy. Based on this new calibration algorithm, magnetic heading is estimated using multiple magnetometers mounted in a special geometric arrangement. Results show that the new calibration technique and heading computation successfully estimate the cumulative effects of perturbations and gives a better orientation estimate as compared with previous work.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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