Results 41 to 50 of about 3,240 (206)

Coherent and Noncoherent Joint Processing of Sonar for Detection of Small Targets in Shallow Water

Sensors, 2018
A coherent-noncoherent joint processing framework is proposed for active sonar to combine diversity gain and beamforming gain for detection of a small target in shallow water environments.
Xiang Pan, Jingning Jiang, Si Li, Zhenping Ding, Chen Pan, Xianyi Gong   +5 more
doaj   +1 more source

PNNL‐TUNAMELT: Toward automating the detection of interactions with marine energy devices using acoustic camera sensors

Limnology and Oceanography: Methods, EarlyView.
Abstract Acoustic cameras, or imaging sonars, are often used to monitor marine energy sites in regions where the water is too dark or turbid for optical sensing. To do so more effectively, scientists are investigating automated detection methodologies to use on these data.
Theodore Nowak, Garrett Staines, Blerim Abdullai   +2 more
wiley   +1 more source

Research advances and development trends in acoustic target detection

Zhongguo Jianchuan Yanjiu
Underwater target detection faces severe challenges due to the enhanced acoustic stealth capabilities of targets and the anomalous sound propagation phenomena within complex ocean waveguides.
Yixin YANG, Lei XIE, Long YANG, Yong WANG, Lu WANG, Yuqi LIU   +5 more
doaj   +1 more source

A Study on Pulse Train Waveforms for High Duty Cycle Sonar Systems: Optimization Scheme and Relationship Between Orthogonality and Bandwidth

IEEE Access, 2021
Active sonar systems are used in the detection and localization of underwater targets. While traditional approaches use pulsed active sonar (PAS) to transmit short bursts, high duty cycle (HDC) sonar systems have been the focus of recent research and can
Geunhwan Kim, Kyunkyung Lee, Kyungsik Yoon, Seokjin Lee   +3 more
doaj   +1 more source

Seabed classification in the Gulf of Alaska from acoustic surveys using deep learning

Limnology and Oceanography: Methods, EarlyView.
Abstract High‐resolution mapping of seafloor habitats has wide applications for fisheries, conservation efforts, offshore infrastructure planning, mineral extraction, and scientific modeling. This study leverages existing widespread single‐beam acoustic data and machine learning to create habitat maps for the Gulf of Alaska at a spatial resolution of ...
Karuna Agarwal, Christopher N. Rooper, Kresimir Williams   +2 more
wiley   +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

Effective Data Augmentation for Active Sonar Classification Using Attention-Based Complementary Learning With Uncertainty Measure

IEEE Access
We enhance the performance of active sonar classification by integrating a validated attention-based complementary learning model (ABCL) with an active learning (AL) framework, following modifications to adapt the model for AL.
Youngsang Hwang, Geunhwan Kim, Wooyoung Hong, Youngmin Choo   +3 more
doaj   +1 more source

Underwater Acoustic Research Trends with Machine Learning: Active SONAR Applications

한국해양공학회지, 2020
Underwater acoustics, which is the study of phenomena related to sound waves in water, has been applied mainly in research on the use of sound navigation and range (SONAR) systems for communication, target detection, investigation of marine resources and
Haesang Yang, Sung-Hoon Byun, Keunhwa Lee, Youngmin Choo, Kookhyun Kim   +4 more
doaj   +1 more source

CONCERT: A Modular Reconfigurable Robot for Construction

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents CONCERT, a fully reconfigurable modular collaborative robot (cobot) for multiple on‐site operations in a construction site. CONCERT has been designed to support human activities in construction sites by leveraging two main characteristics: high‐power density motors and modularity. In this way, the robot is able to perform a
Luca Rossini, Edoardo Romiti, Arturo Laurenzi, Francesco Ruscelli, Marco Ruzzon, Luca Covizzi, Lorenzo Baccelliere, Stefano Carrozzo, Michael Terzer, Marco Magri, Carlo Morganti, Maolin Lei, Liana Bertoni, Diego Vedelago, Corrado Burchielli, Stefano Cordasco, Luca Muratore, Andrea Giusti, Nikos Tsagarakis   +18 more
wiley   +1 more source

Autonomous Navigation in Large‐Scale Underground Environments Based on a Purely Topological Understanding of Tunnel Networks

Journal of Field Robotics, EarlyView.
ABSTRACT This work presents a non‐geometrical navigation approach based on a purely topological understanding of underground environments. By conceptualizing subterranean scenarios as a set of tunnels that intersect with each other, and taking a navigation approach based on topological instructions, we simplify the navigation problem to the sequential ...
Lorenzo Cano, Danilo Tardioli, Alejandro R. Mosteo   +2 more
wiley   +1 more source