Underwater robots play a critical role in the marine industry. Object perception is the
foundation for the automatic operations of submerged vehicles in dynamic aquatic …

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

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

This paper presents SVIn2, a novel tightly-coupled keyframe-based Simultaneous
Localization and Mapping (SLAM) system, which fuses Scanning Profiling Sonar, Visual …

Intelligent unmanned systems have important applications, such as pesticide-spraying in
agriculture, robot-based warehouse management systems, and missile-firing drones. The …

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 …

A plethora of state estimation techniques have appeared in the last decade using visual
data, and more recently with added inertial data. Datasets typically used for evaluation …

In this paper, we present a fast monocular depth estimation method for enabling 3D
perception capabilities of low-cost underwater robots. We formulate a novel end-to-end …

In this paper, we propose an approach for robust visual Simultaneous Localisation and
Mapping (SLAM) in underwater environments leveraging acoustic, inertial and …

The high efficiency of obstacle detection system (ODS) is essential to obtain the high
performance of autonomous underwater vehicles (AUVs) carrying out a mission in a …