Advancements in the field of autonomous underwater vehicle
Abstract Autonomous Underwater Vehicles (AUVs) are robotic devices with a propulsion
system for navigation and an onboard computer for decision making. AUV research is …
system for navigation and an onboard computer for decision making. AUV research is …
A review of the path planning and formation control for multiple autonomous underwater vehicles
Path planning and formation control are two of the most significant concepts which can be
considered in multi-vehicle systems and particularly in autonomous underwater vehicles …
considered in multi-vehicle systems and particularly in autonomous underwater vehicles …
HVIOnet: A deep learning based hybrid visual–inertial odometry approach for unmanned aerial system position estimation
Sensor fusion is used to solve the localization problem in autonomous mobile robotics
applications by integrating complementary data acquired from various sensors. In this study …
applications by integrating complementary data acquired from various sensors. In this study …
Review of collision avoidance and path planning algorithms used in autonomous underwater vehicles
R Kot - Electronics, 2022 - mdpi.com
The rapid technological development of computing power and system operations today
allows for increasingly advanced algorithm implementation, as well as path planning in real …
allows for increasingly advanced algorithm implementation, as well as path planning in real …
Fish detection using deep learning
Recently, human being's curiosity has been expanded from the land to the sky and the sea.
Besides sending people to explore the ocean and outer space, robots are designed for …
Besides sending people to explore the ocean and outer space, robots are designed for …
Underwater image segmentation in the wild using deep learning
P Drews-Jr, I Souza, IP Maurell, EV Protas… - Journal of the Brazilian …, 2021 - Springer
Image segmentation is an important step in many computer vision and image processing
algorithms. It is often adopted in tasks such as object detection, classification, and tracking …
algorithms. It is often adopted in tasks such as object detection, classification, and tracking …
[PDF][PDF] Deep learning in aquaculture: A review
M Sun, X Yang, Y ** with
a low‐cost and non‐invasive method, which avoids animal stress. Economically important …
a low‐cost and non‐invasive method, which avoids animal stress. Economically important …
Visualization methods for image transformation convolutional neural networks
E Protas, JD Bratti, JFO Gaya, P Drews… - … on Neural Networks …, 2018 - ieeexplore.ieee.org
Convolutional neural networks (CNNs) are powerful machine learning models that have
become the state of the art in several problems in the areas of computer vision and image …
become the state of the art in several problems in the areas of computer vision and image …