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

Visual odometry (VO) is a prevalent way to deal with the relative localization problem, which
is becoming increasingly mature and accurate, but it tends to be fragile under challenging …

Autonomous navigation and positioning are key to the successful performance of unmanned
underwater vehicles (UUVs) in environmental monitoring, oceanographic mapping, and …

We present a new dataset, dedicated to the development of simultaneous localization and
mapping methods for underwater vehicles navigating close to the seabed. The data …

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 …

Most Simultaneous Localization and Mapping (SLAM) methods assume that environments
are static. Such a strong assumption limits the application of most visual SLAM systems. The …

Underwater navigation presents crucial issues because of the rapid attenuation of electronic
magnetic waves. The conventional underwater navigation methods are achieved by …

This work aims to develop and evaluate a navigation strategy based on optical payloads for
Autonomous Underwater Vehicles (AUVs). The use of cameras for navigation purposes can …

Hyperspectral imaging has been increasingly used for underwater survey applications over
the past years. As many hyperspectral cameras work as push-broom scanners, their use is …

This research addresses the challenge of estimating the ego-motion of a forward-looking
sonar (FLS) through deep neural networks (DNNs) and their application in autonomous …