Beyond Line of Sight Control of Small Unmanned Aerial Vehicles Using a Synthetic Environment to Augment First Person Video
Why this work is in the frame
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Bibliographic record
Abstract
This paper is a summary of efforts to develop alternative methods to control small Unmanned Aerial Vehicles (UAV) 1 in manual mode while at Beyond Line of Sight (BLOS) range. While it is true that the majority of the UAV airborne activities will be in autonomous mode (i.e. using an autopilot) this may not always be the case, especially if there is a failure of the autopilot or need for an emergency manual override maneuver. This requirement for an emergency manual back-up mode during all flight stages remains in proposed UAV regulations being defined in the U.S., Canada and Europe. This paper proposes a possible manual pilot console using a combination of an extended-range First Person View (FPV) video augmented by a synthetic simulation environment. Practical field testing of the various elements which make up this system is presented.
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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