Abstract Autonomous Underwater Vehicles (AUVs) have been focused on by research
efforts because of their extensive applications in scientific, commercial as well as military …

This paper aims to provide a comprehensive review of the current state of drone technology
and its applications in the mining industry. The mining industry has shown increased interest …

In this letter, we present a conditional generative adversarial network-based model for real-
time underwater image enhancement. To supervise the adversarial training, we formulate an …

Autonomous underwater vehicles (AUVs) rely on a variety of sensors-acoustic, inertial and
visual-for intelligent decision making. Due to its non-intrusive, passive nature and high …

In this paper, we introduce and tackle the simultaneous enhancement and super-resolution
(SESR) problem for underwater robot vision and provide an efficient solution for near real …

In this paper, we present the first large-scale dataset for semantic Segmentation of
Underwater IMagery (SUIM). It contains over 1500 images with pixel annotations for eight …

Spawned by fast paced progress in marine science and technology, the past two decades
have witnessed growing interest in ocean exploration and exploitation for scientific and …

This paper attempts to develop a unified receding horizon optimization (RHO) scheme for
the integrated path planning and tracking control of an autonomous underwater vehicle …

This paper proposes the use of path-planning algorithms for hovering autonomous
underwater vehicles (AUVs) in applications where the robot needs to adapt online its …

Autonomous Underwater Vehicle are widely used in industries, such as marine resource
exploitation and fish farming, but they are often subject to a large amount of interference …