Intelligent Parallel Parking of a Car-like Mobile Robot Using RFID Technology
Why this work is in the frame
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Bibliographic record
Abstract
This paper is devoted to design and implement an intelligent control scheme for a car-like mobile robot that possesses an automatic parallel parking capability using Radio Frequency IDen-tification (RFID) technology. The present manuscript focuses on the navigation module of the overall parking system. Navigation using a few analogue features of an RFID system is a promising alternative to a variety of existing navigation techniques in the state of the art. The proposed approach exploits the ability of a mobile robot to navigate in an unstructured environment and park itself parallel to a wall using RFID tags and some analogue features provided by the RFID system interfaced with the mobile robot. This paper describes how this is achieved by placing the RFID tags in unknown three dimensional positions on the wall within the workspace. A number of computer simulations are carried out to manifest the distinguished features of the proposed technique.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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