Results 131 to 140 of about 36,073 (298)

Multi-Sensor Collaborative Positioning in Range-Only Single-Beacon Systems: A Differential Chan–Gauss–Newton Algorithm with Sequential Data Fusion

Sensors
The development of underwater high-precision navigation technology is of great significance for the application of autonomous underwater vehicles (AUVs).
Yun Ye, Hongyang He, Enfan Lin, Hongqiong Tang   +3 more
doaj   +1 more source

An Underwater Human-Robot Interaction Using a Visual-Textual Model for Autonomous Underwater Vehicles. [PDF]

Sensors (Basel), 2022
Zhang Y, Jiang Y, Qi H, Zhao M, Wang Y, Wang K, Wei F.   +6 more
europepmc   +1 more source

Nature‐Based and Community‐Level Responses to Climate Distress in Young People: A Systematic Review

Journal of Adolescence, EarlyView.
ABSTRACT Introduction Climate change is both an environmental crisis and a growing source of psychological distress for young people, calling for responses that nurture emotional resilience and collective engagement. The emerging response to climate distress has mainly focused on formal psychological and individual‐level interventions.
Meghana Bhupati, Nita Alexander, Yael Perry, Jack Farrugia   +3 more
wiley   +1 more source

Wide-Area Debris Field and Seabed Characterization of a Deep Ocean Dump Site Surveyed by Autonomous Underwater Vehicles. [PDF]

Environ Sci Technol, 2023
Merrifield ST, Celona S, McCarthy RA, Pietruszka A, Batchelor H, Hess R, Nager A, Young R, Sadorf K, Levin LA, Valentine DL, Conrad JE, Terrill EJ.   +12 more
europepmc   +1 more source

Performance of a glider‐mounted multifrequency echosounder for measuring the vertical distribution and abundance of large pelagic copepods

Limnology and Oceanography: Methods, EarlyView.
Abstract The difficulty of sampling zooplankton communities in situ has driven advancements in autonomous, remote sensing technology. The goal of this paper was to perform a gear comparison study testing the performance of one such piece of technology—a glider‐mounted four‐frequency echosounder—against traditional shipboard methods of measuring ...
Delphine Mossman, Joseph D. Warren, Natasha J. Hynes, Kimberley T. A. Davies   +3 more
wiley   +1 more source

Consistent Extended Kalman Filter-Based Cooperative Localization of Multiple Autonomous Underwater Vehicles. [PDF]

Sensors (Basel), 2022
Zhang F, Wu X, Ma P.
europepmc   +1 more source

Uncertainty assessment for a novel optically shallow water radiometric acquisition platform

Limnology and Oceanography: Methods, EarlyView.
Abstract We present a novel motorized platform, a custom‐built jet‐ski designed for acoustic and radiometric measurements in optically shallow coastal waters. This platform integrates in‐water radiometers with single‐beam and multi‐beam acoustic sensors, along with a suite of active and passive instruments (conductivity‐temperature‐depth, fluorescence,
Raphaël Mabit, Simon Bélanger, Pascal Bernatchez   +2 more
wiley   +1 more source

A machine learning assisted method for rapidly annotating benthic megafauna in large volumes of marine imagery

Limnology and Oceanography: Methods, EarlyView.
Abstract Recent technological advancements have rapidly expanded our capacity for collecting image data in the marine environment, but processing images into meaningful ecological metrics remains a manual, time‐consuming, and biased process. This is particularly challenging with electro‐optical cabled imaging systems which generate images at a rate ...
Katharine T. Bigham, Ada Carter
wiley   +1 more source

A novel approach for in situ benthic habitat characterization

Limnology and Oceanography: Methods, EarlyView.
Abstract Habitat heterogeneity is a key driver of temporal and spatial variability of subtidal marine benthic biodiversity. However, this makes it a challenging environment in which to measure and quantify the factors driving biodiversity in a consistent manner.
Ryan J. W. Mathews, David K. A. Barnes, Simon A. Morley, Gareth Flint, Lloyd S. Peck   +4 more
wiley   +1 more source

Towards Energy-Aware Feedback Planning for Long-Range Autonomous Underwater Vehicles. [PDF]

Front Robot AI, 2021
Alam T, Al Redwan Newaz A, Bobadilla L, Alsabban WH, Smith RN, Karimoddini A.   +5 more
europepmc   +1 more source