Subsea pipelines rely primarily on imaging sonar for detection and identification. We
analyze the imaging principles of side scan sonar, multi-beam sonar, synthetic aperture …

Acquiring large amounts of high-quality real sonar data for object detection of autonomous
underwater vehicles (AUVs) is challenging. Synthetic data can be an alternative, but it is …

In order to improve the autonomous navigation capability of autonomous underwater
vehicles (AUV), this paper applies Deep Reinforcement Learning (DRL) to realize …

Abstract Autonomous Underwater Vehicles (AUVs) have proven to be a precious resource
for oceans preservation thanks to their ability to accomplish survey missions on wide areas …

Precise localization of unmanned underwater vehicle (UUV) on multi-beam forward-looking
sonar (MFLS) is a key technology in underwater robotic exploration. However, large …

Accurate positioning of underwater targets is an important basis for many underwater tasks.
As an imagery equipment, forward-looking sonar (FLS) can overcome the problem of poor …

Object detection of continuous sonar image sequences has become an efficient way for
underwater environment exploration. However, the task always suffers from the influence of …

This work presents an advanced fault detection strategy for Autonomous Underwater
Reconfigurable Vehicles (AURVs) leveraging Deep Learning techniques, specifically …

Underwater spherical robots are flexible and often perform tasks in narrow, dark and
complex environments. The artificial lateral line system inspired by the lateral line system of …

This study explores the potential of the Ping 360 sonar device, primarily used for navigation,
in detecting complex underwater obstacles. The key motivation behind this research is the …