Underwater robots play a critical role in the marine industry. Object perception is the
foundation for the automatic operations of submerged vehicles in dynamic aquatic …

Underwater acoustics has been implemented mostly in the field of sound navigation and
ranging (SONAR) procedures for submarine communication, the examination of maritime …

The detection of objects on the seafloor is a complex task. The domain of the detection and
classification of naval mines is additionally complicated by the high risk nature of the task …

水下图像目标检测是水下智能化探测的核心技术之一, 广泛应用于工业及军事领域.
深度学习相关技术的突破为水下图像目标检测的发展带来了新的机遇, 但是目前该领域的综述 …

To overcome the shortcomings of traditional methods for underwater target detection in
sonar images, a novel target detection algorithm based on deep learning is proposed for the …

Acoustic seabed classification (ASC) is a fast and large-scale seabed sediment survey
method. In particular, combining it with an automated classifier can theoretically achieve fast …

This paper proposes a deep convolutional neural network (DCNN) to design an accurate
active sonar image classifier. In order to have a real-time classifier with low complexity, The …

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 …

Monitoring the status of culture fish is an essential task for precision aquaculture using a
smart underwater imaging device as a non-intrusive way of sensing to monitor freely …

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 …