Feasibility of In-Plane Articulation Monitoring of Excavator Arm Using Planar Marker Tracking
Why this work is in the frame
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Bibliographic record
Abstract
SUMMARY: Achieving accurate excavation profiles is a challenging task for excavator operators who typically use the directions of a grade-person to achieve design grades and levels. Allocation of an extra person is costly and requires constant communication between an operator and the grade-person, which reduces productivity. As a result, several machine control technology providers have developed angle sensor packages to monitor the pose of the excavator components in real-time. These systems, however, are expensive and their installation and calibration are costly and time consuming. This paper presents a generic and scalable computer-vision based framework for real-time pose estimation of an excavator’s boom and dipper (stick) using low-cost markers installed on the side of the arms. The hardware components of this system are inexpensive and the setup process is quick and straightforward. The system demonstrated promising performance and has been shown to measure boom and dipper angles with an average uncertainty of less than 0.75° in real-time.
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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 | 0.001 | 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 | 0.001 |
| 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