I-SIL: features and capabilities of a long-range shuttle inspection characteristics lidar
Bibliographic record
Abstract
The tragic loss of the Space Shuttle Columbia and crew in 2003 has resulted in a requirement to inspect the Shuttle Thermal Protection System (TPS) on-orbit so that the crew may remain at the International Space Station (ISS) in the event of damage that might pose an unacceptable risk to their safe return. An instrumented inspection boom manipulated and operated from the Shuttle’s Canadarm will provide an interim solution for the initial flights. However, a longer term solution has been planned that will permit the required inspection to be performed from within the ISS through the ISS windows. This plan involves the Shuttle performing a pitching maneuver to expose the underside for inspection purposes as it approaches the ISS prior to docking. The central approach in this plan is for the ISS crew to photograph the Shuttle TPS through the ISS windows using high-definition cameras. As an augmentation to this plan, the ISS-based Shuttle Inspection Lidar, or I-SIL, is a proposed lidar instrument that will generate a 3D topographic surface of the Shuttle underside to enable rapid identification and volumetric analysis of tile damage to generate safety and repair data. This paper presents the mission requirements and derived requirements for I-SIL, analyzes specific details of the inspection requirements, and discusses various phases of operating scenarios. The conclusion of the paper outlines the current status of the proposed technology.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".