Application of panospheric imaging to an armoured vehicle viewing 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
Concerns the use of panospheric imaging (PI) in armoured vehicle design. The Vehicle Concepts Group (VCG) at the Defence Research Establishment Suffield (DRES) is proposing a proof-of-concept research project to demonstrate the viability of an armoured vehicle viewing system using panospheric imaging. The objective of the proposed research is to show that an economical and robust system can provide a 360 degree by 270 degree panospheric field of view to all members of the armoured vehicle crew. Imagery is presented to each crewman through a "virtual reality" crew helmet, with the specific view being appropriate to the orientation of the individuals head. In effect, each member of the crew will have the sensation of being able to "see through the walls" of the armoured vehicle. This paper describes the mechanical and electronic architecture of the proposed viewing system, and some of the operational considerations constraining the design. The particular merit of a panospheric viewing system (PVS) for automated motion detection, target acquisition, and gun lay is briefly discussed.
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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