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Record W2128518130 · doi:10.1109/plans.1994.303408

High accuracy airborne GPS positioning: testing, data processing and results

2002· article· en· W2128518130 on OpenAlexafffund
Junbo Shi, M. Elizabeth Cannon

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGNSS positioning and interference
Canadian institutionsUniversity of Calgary
FundersUniversity of Calgary
KeywordsRemote sensingComputer scienceInitializationGlobal Positioning SystemPhotogrammetryGps receiverFlight testRange (aeronautics)Real-time computingAssisted GPSSimulationArtificial intelligenceEngineeringGeographyAerospace engineeringTelecommunications

Abstract

fetched live from OpenAlex

Results from an airborne DGPS test are presented in which two receivers were used as monitor stations and another two were installed on the aircraft. Four Trimble SSE receivers were used and monitor-aircraft separations of up to 200 km were experienced during the test flights. Receiver configurations, data processing techniques and accuracy checking methods are discussed with respect to high accuracy airborne positioning. Errors from the ionosphere and orbit are discussed and analyzed using the test data. Several computational scenarios are used to assess the potential accuracy. Based on these computations and analyses, results indicate that the accuracy of airborne DGPS positioning with monitor-remote separations in the range of 50-200 km is at the level of 10 cm using high quality receivers and reliable ambiguity initialization. This positional accuracy fulfils most practical airborne applications such as photogrammetry and remote sensing.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.964
Threshold uncertainty score0.419

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.061
GPT teacher head0.253
Teacher spread0.192 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2002
Admission routes2
Has abstractyes

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