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AUV Navigation and Localization: A Review

2014· review· en· 1,463 citations· W1969142081 on OpenAlex· 10.1109/joe.2013.2278891

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Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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Opus teacher head0.023
GPT teacher head0.270
Teacher spread
0.247 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

Autonomous underwater vehicle (AUV) navigation and localization in underwater environments is particularly challenging due to the rapid attenuation of Global Positioning System (GPS) and radio-frequency signals. Underwater communications are low bandwidth and unreliable, and there is no access to a global positioning system. Past approaches to solve the AUV localization problem have employed expensive inertial sensors, used installed beacons in the region of interest, or required periodic surfacing of the AUV. While these methods are useful, their performance is fundamentally limited. Advances in underwater communications and the application of simultaneous localization and mapping (SLAM) technology to the underwater realm have yielded new possibilities in the field. This paper presents a review of the state of the art of AUV navigation and localization, as well as a description of some of the more commonly used methods. In addition, we highlight areas of future research potential.

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The record

Venue
IEEE Journal of Oceanic Engineering
Topic
Underwater Vehicles and Communication Systems
Field
Engineering
Canadian institutions
Defence Research and Development CanadaUniversity of New Brunswick
Funders
Keywords
UnderwaterGlobal Positioning SystemBeaconInertial navigation systemRadio navigationSimultaneous localization and mappingUnderwater acoustic communicationComputer scienceReal-time computingBandwidth (computing)EngineeringTelecommunicationsArtificial intelligenceInertial frame of referenceMobile robotRobotGeography
Has abstract in OpenAlex
yes