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Record W2289110623 · doi:10.23919/oceans.2015.7404407

Autonomous shallow water bathymetric measurements for environmental assessment and safe navigation using USVs

2015· article· en· W2289110623 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicUnderwater Vehicles and Communication Systems
Canadian institutionsnot available
Fundersnot available
KeywordsBathymetrySonarHydrographyMarine engineeringRemotely operated underwater vehicleUnmanned surface vehicleUnderwaterEcho soundingHydrographic surveyHullRemote sensingComputer scienceSide-scan sonarSystems engineeringOceanographyEnvironmental scienceEngineeringGeologyMobile robotRobotArtificial intelligence

Abstract

fetched live from OpenAlex

The application of unmanned surface vehicles for autonomous shallow water bathymetric measurements, for naval mine counter-measures and hydrographic charting, and as a navigation assist for high valued ships is discussed. Defence Research & Development Canada has developed a prototype unmanned surface vehicle based on a commerically available catamaran hull-form integrated with a hydrographic quality bathymetric sonar, side-scan sonar, and an echo sounder. The unmanned surface vehicle is also equipped with a WHOI underwater acoustic modem and a 2.4 GHz RF radio to facilitate above and below water communications. The vehicle is also integrated with a mission-planner that has an advanced autonomy framework to facilitate the development and implementation of more complex robotic behaviors towards capabilities for the above-mentioned applications. This autonomous system has undergone validation and testing in the Canadian Arctic and numerous local trials in Halifax Canada. The efficacy of, and lessons learned from, using unmanned surface vehicles for these applications are discussed.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.763
Threshold uncertainty score0.310

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 head0.109
GPT teacher head0.285
Teacher spread0.176 · 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