Results 41 to 50 of about 5,597,306 (275)
Colour reconstruction of underwater images [PDF]
Objects look very different in the underwater environment compared to their appearance in sunlight. Images with correct colouring simplify the detection of underwater objects and may allow the use of visual SLAM algorithms developed for land-based robots
Wojciech Kowalczyk +3 more
core +1 more source
Review on Deep Learning Techniques for Underwater Object Detection
Repair and maintenance of underwater structures as well as marine science rely heavily on the results of underwater object detection, which is a crucial part of the image processing workflow. Although many computer vision-based approaches have been presented, no one has yet developed a system that reliably and accurately detects and categorizes objects
Radhwan Adnan Dakhil +1 more
openaire +2 more sources
A data-centric framework for combating domain shift in underwater object detection with image enhancement [PDF]
Underwater object detection has numerous applications in protecting, exploring, and exploiting aquatic environments. However, underwater environments pose a unique set of challenges for object detection including variable turbidity, colour casts, and ...
Stantic, Bela +2 more
core +1 more source
SWIPENET: Object detection in noisy underwater images
In recent years, deep learning based object detection methods have achieved promising performance in controlled environments. However, these methods lack sufficient capabilities to handle underwater object detection due to these challenges: (1) images in the underwater datasets and real applications are blurry whilst accompanying severe noise that ...
Long Chen 0019 +7 more
openaire +2 more sources
The Common Objects Underwater (COU) Dataset for Robust Underwater Object Detection
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
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
Advances in Sustainable and Wearable Textile Based Soft Robotics
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
Underwater object detection algorithm improvement. [PDF]
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
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
Is Underwater Image Enhancement All Object Detectors Need? [PDF]
Underwater object detection is a crucial and challenging problem in marine engineering and aquatic robot. The difficulty is partly because of the degradation of underwater images caused by light selective absorption and scattering. Intuitively, enhancing
Yue, Huihui +6 more
core

