Ambient Light Impact on Power Reception in Outdoor VLC: A Distance-Based Analysis
Bibliographic record
Abstract
Environmental sustainability is crucial for ensuring the long-term health and well-being of our planet and its in-habitants. Precise navigation of autonomous and semi-autonomous vehicles in agricultural usage, therefore, becomes a crucial com-ponent in ensuring such sustainability. It is no surprise that the use of visible light communication (VLC) in navigation is steadily expanding, driven primarily by its remarkable precision in indoor environments. VLC has significant potential as a su-perior alternative to traditional navigation systems, including the global positioning system (GPS), particularly in dynamic outdoor environments. However, despite its indoor success, addressing the challenges posed by ambient light remains critical, particularly in outdoor scenarios where natural lighting conditions vary substan-tially. This article investigates the complex relationship between ambient light and outdoor VLC technology. The study aims to quantify the impact of ambient light on the receiving power level at varying distances in outdoor VLC systems by employing advanced simulation and modelling techniques. It provides a detailed analysis of the effects of sunlight, offering valuable insights for optimizing the positioning of light transmitters and receivers to enhance performance and reliability in real-world applications. The results discussed have significant implications for advancing outdoor VLC technology. They provide a pathway for creating more resilient and efficient navigation systems that function seamlessly across various environmental conditions.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".