Underwater computer vision has attracted increasing attention in the research community
due to the recent advances in underwater platforms such as of rovers, gliders, autonomous …

Autonomous localization and navigation, as an essential research area in robotics, has a
broad scope of applications in various scenarios. To widen the utilization environment and …

Underwater imaging has been present for many decades due to its relevance in vision and
navigation systems. In recent years, advances in robotics have led to the availability of …

Visual systems are receiving increasing attention in underwater applications. While the
photogrammetric and computer vision literature so far has largely targeted shallow water …

Underwater image processing is seriously challenged by the absorption and scattering of
light in water. This paper introduces a self supervised learning network that utilizes self …

Most parts of the Earth's surface are situated in the deep ocean. To explore this visually
rather adversarial environment with cameras, they have to be protected by pressure …

Conventional SLAM methods which work very well in typical above-water situations, are
based on detecting keypoints that are tracked between images, from which egomotion and …

In this work, we address the problem of real-time dense depth estimation from monocular
images for mobile underwater vehicles. We formulate a deep learning model that fuses …

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

This study provides a comprehensive review of the current state of the art in marine
technology as it pertains to the 3D documentation of underwater archaeological and …