Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …

In recent years, our view of coastal ecosystems has expanded and come into greater focus.
We are currently making more types of observations over larger areas and at higher …

This paper introduces the conception, design, fabrication, and control of a modular remotely
operated underwater vehicle. It is an affordable submarine robot intended for inspection …

In this paper, we propose a data fusion algorithm based on the weighted histogram statistics
(DF-WHS) to improve the performance of direction-of-arrival (DOA) estimation for the vector …

Due to the harsh underwater environment, it is a challenging issue to realize the high-
precision localization for underwater mobile nodes. In this paper, we investigate the problem …

Accurate navigation of an autonomous underwater vehicle is important for its reliable
operation. However, this task is challenging due to limitations of radio wave propagation and …

Recently, Deep Convolutional Neural Networks have been applied to various computer
vision problems and achieved state-of-the-art results. Among these, Siamese and Triplet …

Abstract Recently, Deep Convolutional Neural Networks have been successfully applied to
various robotics problems, such as robot vision and simultaneous localization and mapping …

Underwater navigation and localization are greatly enhanced by the use of acoustic images.
However, such images are of difficult interpretation. Contrarily, aerial images are easier to …

This paper introduces a method for the range localization of a moving ship based on the
vertical hydrophone line array. The main implementation steps of the proposed algorithm …