An HSGPS, inertial and map-matching integrated portable vehicular navigation system for uninterrupted real-time vehicular navigation
Bibliographic record
Abstract
Robust real-time vehicle positioning is a critical requirement for many in-vehicle technologies. However, no standalone positioning system is capable of providing uninterrupted and accurate vehicular navigation data in all environments that a vehicle could encounter. This paper presents a portable vehicular navigation system that combines high-sensitivity GPS, inertial sensors and map-matching techniques to provide uninterrupted vehicular navigation information in even the harshest environments for individual sensor technologies. This system eliminates the need for complex initialisation routines required for high-end inertial sensors, making it a truly portable system. The map-matching component establishes a link between the vehicle and spatial information useful for many more in-vehicle technologies such as route guidance and location-based services. The system performance is evaluated and presented in an urban centre with extreme levels of GPS signal degradation.
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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 | 0.001 | 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 | 0.003 |
| 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".