MétaCan
Menu
Back to cohort

Freesub: Navigation Guidance and Control of An IAUV

2004· article· en· W2004856769 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe International Journal of Maritime Engineering · 2004
Typearticle
Languageen
FieldEngineering
TopicUnderwater Vehicles and Communication Systems
Canadian institutionsCybernet Systems Corporation (Canada)
Fundersnot available
KeywordsAeronauticsComputer scienceEngineering

Abstract

fetched live from OpenAlex

An intervention Autonomous Underwater Vehicle (AUV) is a significant step forward from a conventional AUV because tasks usually performed using a Remotely Operated Vehicle (ROV) are made possible. In addition, its versatility opens a range of new applications, e.g. black-box recovery. The successful execution of such a mission requires that the Navigation, Guidance and Control of an intervention AUV is capable of simultaneous localisation and mapping, target localisation, obstacle avoidance and robust supervisory operation. In this technical note we will seek to explore the ramifications of these requirements on the technologies, their integration, and mission control. A detailed discussion of all the facets of the mission requirements will be given, and a modular system presented. Furthermore, the concept of an AUV simulator will be introduced as a tool for the testing of navigation, guidance and control systems. Such a simulator environment would allow for complete mission scenarios to be tested.

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.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score0.216

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 head0.006
GPT teacher head0.203
Teacher spread0.197 · 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