Range error analysis of an integrated time-of-flight, triangulation, and photogrammetric 3D laser scanning system
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A 3-D laser tracking scanner system analysis focusing on immunity to ambient sunlight and geometrical resolution and accuracy is presented in the context of a space application. The main goal of this development is to provide a robust sensor to assist in the assembly of the Space Station. This 3-D laser scanner system can be used in imagery or in tracking modes, using either time-of-flight (TOF) or triangulation methods for range acquisition. It uses two high-speed galvanometers and a collimated laser beam to address individual targets on an object. In the tracking mode of operation, we will compare the pose estimation and accuracy of the laser scanner using the different methods: triangulation, TOF (resolved targets), and photogrammetry (spatial resection), and show the advantages of combining these different modes of operation to increase the overall performances of the laser system.
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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) | 0.001 | 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