754 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Purdue University West LafayetteUS2 papers
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und MeeresforschungDE1 paper
- Ames Research CenterUS1 paper
- ArtCenter College of DesignUS1 paper
- Beckham Company (United States)US1 paper
- California Institute of TechnologyUS1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Centro di Ricerca per l’OrticolturaIT1 paper
- Consiglio per la ricerca in agricoltura e l’analisi dell’economia agrariaIT1 paper
- Constructor UniversityDE1 paper
- Division Technique de I'INSUFR1 paper
- European Multidisciplinary Seafloor and water column ObservatoryIT1 paper
12 papers
Toward 6-DOF Autonomous Underwater Vehicle Energy-Aware Position Control based on Deep Reinforcement Learning: Preliminary Results
Gustavo Boré, Vicente Sufán, Sebastián Rodríguez-Martínez +1
The use of autonomous underwater vehicles (AUVs) for surveying, mapping, and inspecting unexplored underwater areas plays a crucial role, where maneuverability and power efficiency…
Full Magnetometer and Gyroscope Bias Estimation using Angular Rates: Theory and Experimental Evaluation of a Factor Graph-Based Approach
Sebastián Rodríguez-Martínez, Giancarlo Troni
Despite their widespread use in determining system attitude, Micro-Electro-Mechanical Systems (MEMS) Attitude and Heading Reference Systems (AHRS) are limited by sensor measurement…
FathomGPT: A Natural Language Interface for Interactively Exploring Ocean Science Data
Nabin Khanal, Chun Meng Yu, Jui-Cheng Chiu +4
We introduce FathomGPT, an open source system for the interactive investigation of ocean science data via a natural language interface. FathomGPT was developed in close collaborati…
Towards a Factor Graph-Based Method using Angular Rates for Full Magnetometer Calibration and Gyroscope Bias Estimation
Sebastián Rodríguez-Martínez, Giancarlo Troni
MEMS Attitude Heading Reference Systems are widely employed to determine a system's attitude, but sensor measurement biases limit their accuracy. This paper introduces a novel fact…
Bathymetric Surveying with Imaging Sonar Using Neural Volume Rendering
Yiping Xie, Giancarlo Troni, Nils Bore +1
This research addresses the challenge of estimating bathymetry from imaging sonars where the state-of-the-art works have primarily relied on either supervised learning with ground-…
DeepSee: Multidimensional Visualizations of Seabed Ecosystems
Adam Coscia, Haley M. Sapers, Noah Deutsch +14
Scientists studying deep ocean microbial ecosystems use limited numbers of sediment samples collected from the seafloor to characterize important life-sustaining biogeochemical cyc…
From Concept to Field Tests: Accelerated Development of Multi-AUV Missions Using a High-Fidelity Faster-than-Real-Time Simulator
Timothy R. Player, Arjo Chakravarty, Mabel M. Zhang +4
We designed and validated a novel simulator for efficient development of multi-robot marine missions. To accelerate development of cooperative behaviors, the simulator models the r…
Designing Ocean Vision AI: An Investigation of Community Needs for Imaging-based Ocean Conservation
Alison Crosby, Eric C. Orenstein, Susan E. Poulton +5
Ocean scientists studying diverse organisms and phenomena increasingly rely on imaging devices for their research. These scientists have many tools to collect their data, but few r…
New high-tech flexible networks for the monitoring of deep-sea ecosystems
J. Aguzzi, D. Chatzievangelou, S. Marini +24
Increasing interest in the acquisition of biotic and abiotic resources from within the deep sea (e.g. fisheries, oil-gas extraction, and mining) urgently imposes the development of…
Underwater dual-magnification imaging for automated lake plankton monitoring
E. Merz, T. Kozakiewicz, M. Reyes +10
We present an approach for automated in-situ monitoring of phytoplankton and zooplankton communities based on a dual magnification dark-field imaging microscope/camera. We describe…
Identifying Excessively Rounded or Truncated Data
Kevin H. Knuth, J. Patrick Castle, Kevin R. Wheeler
All data are digitized, and hence are essentially integers rather than true real numbers. Ordinarily this causes no difficulties since the truncation or rounding usually occurs bel…
Best Practices for Scientific Computing
Greg Wilson, D. A. Aruliah, C. Titus Brown +10
Scientists spend an increasing amount of time building and using software. However, most scientists are never taught how to do this efficiently. As a result, many are unaware of to…