In this paper, we present an approach for estimating the leaf density of trees while
navigating in a forest. To this end, we consider an Unmanned Aerial Vehicle (UAV) …

The accurate detection and quantification of submerged targets has been recognized as a
key challenge in marine exploration, one that traditional census approaches cannot handle …

Anomaly detection is suitable for active sonar classification due to its ability to handle the
challenges posed by small imbalanced data sets. Recently, a modified anomaly detection …

Machine learning (ML)-based approaches are desirable for discriminating targets from
clutter signals to enhance the performance of active sonar systems. However, a small …

The necessity of long-range underwater surveillance has strongly increased in the last
decades, and low-frequency active sonar (LFAS) systems seem to fulfill this need. However …

This work describes an unsupervised anomaly detection method for automatic contacts
classification of an active sonar system. The proposed method refers to littoral, shallow water …

This work proposes a robust tracker based on the Poisson Multi Bernoulli Mixture (PMBM)
filter for multistatic sonar networks (MSNs) systems. The PMBM based trackers estimate the …

Target detection and sonar contact classification with active sonar systems are not trivial
especially when operating in coastal and shallow water environments with multipath …

Acoustic metamaterials, similar to their electromagnetic counterparts, are artificial
subwavelength materials designed to manipulate sound waves. By tailoring the material's …

Cooperation among multiple autonomous surface and underwater vehicles is an important
capability for detection and tracking of underwater objects. Cooperative autonomy in the …