Results 41 to 50 of about 4,817,492 (231)

The Common Objects Underwater (COU) Dataset for Robust Underwater Object Detection

open access: yes2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
We introduce COU: Common Objects Underwater, an instance-segmented image dataset of commonly found man-made objects in multiple aquatic and marine environments. COU contains approximately 10K segmented images, annotated from images collected during a number of underwater robot field trials in diverse locations.
Rishi Mukherjee   +3 more
openaire   +2 more sources

Underwater Object Detection of AUV based on Sonar Simulator utilizing Noise Addition

open access: yes, 2022
Object detection is one of necessary techniques for autonomous underwater vehicles (AUVs) to automate their missions. However, underwater object detection requires a large number of data images of target object.
YU, SON-CHEOL   +2 more
core  

Architecture‐Driven Sensor Stability in Weft‐Knitted Engineering Textiles

open access: yesAdvanced Engineering Materials, EarlyView.
Textile‐integrated sensor architectures are systematically compared to evaluate their electromechanical behavior under combined mechanical and environmental loading. Pocket‐based integration exhibits stable and reproducible signals, whereas tunnel‐based routing shows higher sensitivity accompanied by increased variability.
Adnan Maroof Khan   +5 more
wiley   +1 more source

Underwater Object Detection Algorithm Based on Adding Channel and Spatial Fusion Attention Mechanism

open access: yesJournal of Marine Science and Engineering, 2023
Underwater target detection is the foundation and guarantee for the autonomous operation of underwater vehicles and is one of the key technologies in marine exploration. Due to the complex and special underwater environment, the detection effect is poor,
Xingyao Wang   +3 more
doaj   +1 more source

Underwater object detection algorithm improvement. [PDF]

open access: yes, 2016
The work deals with underwater object detection algorithms and software tools to implement them. Underwater object recognition algorithms for finding relevant submerged object, seabed artifacts, marine flora and fauna examples.
Vaitkus, Aurimas,
core  

Advances in Sustainable and Wearable Textile Based Soft Robotics

open access: yesAdvanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas   +6 more
wiley   +1 more source

Class-incremental few-shot underwater object detection framework

open access: yesScientific Reports
Underwater object detection is vital for marine exploration and ecological monitoring. However, due to the low-quality original characteristics of underwater images, the diversity changes of underwater species, and the scarcity of samples, existing ...
Xue Zhao, Bin Zhou, Yanjiang Wang
doaj   +1 more source

Bioinspired Co‐Assembly Enables Multiscale Architected Hydrogels for 3D Printing With Integrated Antibacterial and Bioactive Functions

open access: yesAdvanced Functional Materials, EarlyView.
A multicomponent supramolecular hydrogel integrating cell‐adhesive and antibacterial peptides within an alginate‐cellulose nanofibril matrix is developed. Peptide co‐assembly simultaneously strengthens the hydrogel network, improves extrusion printability, and imparts cell‐adhesive and antibacterial functions, offering a versatile platform for ...
Mor Tsuriano‐Zernichov   +4 more
wiley   +1 more source

Lightweight Underwater Object Detection Algorithm for Embedded Deployment Using Higher-Order Information and Image Enhancement

open access: yesJournal of Marine Science and Engineering
Underwater object detection is crucial in marine exploration, presenting a challenging problem in computer vision due to factors like light attenuation, scattering, and background interference.
Changhong Liu   +6 more
doaj   +1 more source

UWV-Yolox: A Deep Learning Model for Underwater Video Object Detection

open access: yesSensors, 2023
Underwater video object detection is a challenging task due to the poor quality of underwater videos, including blurriness and low contrast. In recent years, Yolo series models have been widely applied to underwater video object detection. However, these
Haixia Pan   +7 more
doaj   +1 more source

Home - About - Disclaimer - Privacy