Field trial results of planetary rover visual motion estimation in Mars analogue terrain
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
Abstract This paper presents the Mojave Desert field test results of planetary rover visual motion estimation (VME) developed under the “Autonomous, Intelligent, and Robust Guidance, Navigation, and Control for Planetary Rovers (AIR‐GNC)” project. Three VME schemes are compared in realistic conditions. The main innovations of this project include the use of different features from stereo‐pair images as visual landmarks and the use of vision‐based feedback to close the path‐tracking loop. The multiweek field campaign, conducted on relevant Mars analogue terrains, under dramatically changing lighting and weather conditions, shows good localization accuracy on the average. Moreover, the MDA‐developed inertial measurement unit (IMU)‐corrected odometry was reliable and had good accuracy at all test locations, including loose sand dunes. These results are based on data collected during 7.3 km of traverse, including both fully autonomous and joystick‐driven runs. © 2012 Wiley Periodicals, Inc.
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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