Abstract Autonomous Underwater Vehicles (AUVs) are robotic devices with a propulsion
system for navigation and an onboard computer for decision making. AUV research is …

Underwater scene is highly unstructured, full of various noise interferences. Moreover, GPS
information is not available in the underwater environment, which thus brings huge …

As being increasingly used for underwater explorations, Autonomous Underwater Vehicles
(AUVs) are diversified in their structures and outlines to match up with various mission …

The high-precision localization module is an essential component of unmanned underwater
vehicles (UUVs), providing critical parameter information for motion control, decision …

Noise appears in images captured by real cameras. This paper studies the influence of
noise on monocular feature-based visual Simultaneous Localization and Mapping (SLAM) …

Some underwater applications involve deploying multiple underwater Remotely Operated
Vehicles in a common area. Such applications require the localization of these vehicles, not …

This study investigated the development of visual recognition and stereoscopic imaging
technology, applying them to the construction of an image processing system for …

Visual odometry (VO) is important in robotic rescue and navigation operations; however,
poor visibility scenarios, which are characterised by weak illumination, few textures, and self …

Visual localization estimation is highly depended on the quality of video frames or captured
images. Estimation quality may be affected by the poor visibility, low background texture and …

We propose an online dehazing method with sparse depth priors using an incremental
Gaussian Process (iGP). Conventional approaches focus on achieving single image …