Pseudolite augmented navigation for automotive application
Bibliographic record
Abstract
This paper presents the idea of the Local Area Navigation Systems (LANS) for automotive application in combination with standard GNSS navigation systems. The navigation system is based on four components: the widely available GPS, pseudolites located in areas where GPS signal is obstructed (tunnels, parking lots, city canyons), GPRS communication and supervisory informatics system. In this kind of system, reliable positioning is crucial. This article covers basic aspects of GPS single point positioning commonly used in navigation applications. Some information about differential positioning (DGPS/RTK) is also provided. A strong pressure is put on the application of pseudolite, its design and possible usability. This article presents authors own pseudolite design and the idea of pseudolite application to increase road safety in areas where standard GNSS signals are not available. The pseudolite presented in this paper is in the stage of development and testing. It is a device designed at the University of Warmia and Mazury in Olsztyn in cooperation with Canadian Center for Geodetic Engineering, University of New Brunswick, Canada. Different approach to the navigation in harsh environment is to move the source of the navigation outside of the vehicle and place it inside of the obstructions. It is much more efficient way to use in vehicles standard GPS receivers augmented with signals from the pseudolites, when the satellite signals are unavailable.
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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 | 0.000 | 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 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".