Ultra-wideband Automatic Anchor's Localization for Indoor Path Tracking
Why this work is in the frame
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Bibliographic record
Abstract
Ultra-wideband (UWB) wireless technology has recently been used for real-time location systems due to its enhanced immunity against multipath problems. Accurate anchors' positions are needed for tag localization, which means location tracking is only possible in a structured environment where the anchors are placed and their positions are measured accurately. This labour-intense and time-consuming process is a major limitation to widely using UWB networks in indoor navigation applications. In this paper, we present an automatic expansion technique to automatically localize UWB anchors. The proposed approach allows deploying the anchors on the fly, then calculating the newly added anchor's position accurately to be used for tag positioning. The presented technique was tested against a high-end indoor Simultaneous Localization and Mapping (SLAM) system from GeoSLAM company under multiple different indoor trajectories. The tests explored the effect of incorporating extra information about the environment's geometry (corner locations, size of the explored area) on the estimated trajectory accuracy.
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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 | 0.000 |
| 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