Design of Obstructed Sight Traffic Warning Device Based on Pyroelectric Infrared Sensor
Bibliographic record
Abstract
In recent years, the occurrence of traffic accidents in China has been generally on the rise. Especially in some curved areas where the line of sight is obstructed, due to mountains, trees and other objects blocking, vehicle drivers can not know the road ahead, making traffic accidents occur frequently. In this paper, the combination of pyroelectric infrared sensor and Fresnel lens group is used to increase the distance and range of detecting vehicles and pedestrians on the road, improve the detection and reception sensitivity, monitor the road situation in real time, and transmit the signal to the control device after processing, and the control device will control the work of the warning device in order to guarantee the traffic safety of the curves with obstructed view. On the basis of retaining the traditional convex mirror device, warning lights and alarms have been added to provide three different ways of reminding oncoming vehicles or pedestrians in different directions, playing a triple warning role to protect people's safe travel.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".