Plastic litter has been widely documented in our oceans, leading to growing worldwide
concerns regarding its potential impact on the marine environment. A large proportion of this …

Due to the complexity of the ocean environment, an autonomous underwater vehicle (AUV)
is disturbed by obstacles when performing tasks. Therefore, the research on underwater …

This chapter introduces the reader to many important applications of deep learning in
industry. It provides a high-level overview of deep learning and its key architectures. The …

Underwater dynamic target tracking technology has a wide application prospect in marine
resource exploration, underwater engineering operations, naval battlefield monitoring, and …

Autonomous underwater vehicles (AUVs) are often used to inspect the condition of
submerged structures in oil and gas fields. Because the use of global positioning systems to …

This paper presents a novel and practical convolutional neural network architecture to
implement semantic segmentation for side scan sonar (SSS) image. As a widely used …

Garbage and debris produced by humans is commonly found in natural underwater
environments such as oceans, lakes and rivers. Removal of submerged marine debris is …

Object detection and recognition are typically stages that form part of the perception module
of Autonomous Underwater Vehicles, used with different sensors such as Sonar and Optical …

Object detection tasks for sonar image confront two major challenges, scarcity of dataset and
perturbation of noise, which cause overfitting to models. The state-of-the-art object detection …

To detect the underwater target more effectively, the paper optimizes the one-stage
detection algorithm YOLO with combining Swin Transformer blocks and layers. Due to the …