Alternative Vision Approach to Ground Vehicle Detection System Utilizing Single Board Computer (SBC) for Motor Control
Why this work is in the frame
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Bibliographic record
Abstract
This paper presented an alternative approach for ground vehicle identification for vehicle following. The vision system is tested for its feasibility in image processing on a limited resources platform. The limited resources platform consists of off-the-shelf webcam as vision sensor, single board computer (SBC) as its main hardware and a microcontroller as a sensor board. The image processing library used for image processing is OpenCV, an open source library. For optimization purposes Design of Experiment (DOE) is used to determine the factors that contribute to the accuracy of the vehicle identification. This system is then attached serially to ultrasonic sensor in order to demonstrate the safety system for the follower vehicle. Once integrated SBC will decide the action of the motor of the RC car. The experimental results reveal that the approach under limited resources platform is able to identify the needed features to indicate presence of a ground vehicle to some extent. The paper also highlights the limitations of the system which may be addressed in future works.
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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 | 0.002 | 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