Evidence map›Paper›PMID 41080045›Full record

ArticleInternational journal of intelligent robotics and applications2025

Underwater localization system for marine seismic airgun arrays validated through robotics.

Ulises Tronco Jurado, Peter Wilson, Philippe Blondel, Andrew Bartin, Greg Walker-Doyle

Abstract read
In one paragraph

Article in International journal of intelligent robotics and applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ulises Tronco JuradoDepartment of Electronic and Electrical Engineering, University of Bath, Claverton Down, Bath, BA2 7AY UK.ORCID https://orcid.org/0000-0002-7992-5561
Peter WilsonDepartment of Electronic and Electrical Engineering, University of Bath, Claverton Down, Bath, BA2 7AY UK.
Philippe BlondelDepartment of Physics, University of Bath, Claverton Down, Bath, BA2 7AY UK.
Andrew BartinSeamap UK, Ltd, Unit 34, The Maltings Charlton Estate, Shepton Mallet, Somerset, BA4 5QE UK.
Greg Walker-DoyleSeamap UK, Ltd, Unit 34, The Maltings Charlton Estate, Shepton Mallet, Somerset, BA4 5QE UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marine seismic surveys rely on the precise localization of seismic airguns to ensure high-quality data acquisition. The current state-of-the-art systems for airgun localization, such as Ultra-Short Baseline (USBL), Long Baseline (LBL), and GPS-aided and hybrid systems, provide reliable positioning but are often costly, operationally complex or limited to surface tracking. To address these limitations, this research presents a novel, cost-effective, and robust underwater localization system designed explicitly for real-time trajectory tracking of seismic airguns. The proposed system integrates a low-cost Inertial Motion Unit (IMU), an open-source, modular, and low-power acoustic modem, and a depth sensor, employing an Extended Kalman Filter (EKF) using Robot Operating System (ROS) for the development of the sensor fusion and localization algorithm. The system achieves a position accuracy within 0.3-2 m, meeting the tolerances required for seismic surveys. Compared to USBL + INS and GPS-aided systems, the proposed system provides comparable precision while significantly reducing deployment complexity and operational costs. Unlike LBL systems, it does not rely on pre-installed seabed transponders, enhancing adaptability to different operational environments. Furthermore, its capacity to operate underwater without surface GPS dependency overcomes the limitations of existing systems in deep-sea or complex acoustic environments. The system is expected to enhance marine seismic data quality by enabling real-time positioning tracking, reduce marine seismic exploration times, and mitigate potential environmental impacts on marine ecosystems. This innovation bridges the gap between precision, affordability, and environmental sustainability in marine seismic exploration, making it a promising alternative for integrating trajectory position estimates of airguns into seismic survey workflows, helping to enhance the efficiency and effectiveness of marine seismic surveys worldwide. Supplementary Information: The online version contains supplementary material available at 10.1007/s41315-025-00429-3.

Indexed as

AirgunsInertial/acoustic sensor systemLocalization systemMarine seismic surveysSensor fusion

Identifiers

PMID41080045
PMCPMC12507950

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.