Underwater surveillance has traditionally been carried out by means of surface and
undersea manned vessels equipped with advanced sensor systems. This approach is often …

Networks of multiple radars are typically used for improving the coverage and tracking
accuracy. Recently, such networks have facilitated deployment of commercial radars for …

Situation-aware technologies enabled by multitarget tracking will lead to new services and
applications in fields such as autonomous driving, indoor localization, robotic networks, and …

We present a simultaneous localization and map** (SLAM) algorithm that is based on
radio signals and the association of specular multipath components (MPCs) with geometric …

We propose an algorithm for tracking an unknown number of targets based on
measurements provided by multiple sensors. Our algorithm achieves low computational …

Situation-aware technologies enabled by multitarget tracking algorithms will create new
services and applications in emerging fields such as autonomous navigation and maritime …

Scalable and decentralized algorithms for Cooperative Self-localization (CS) of agents, and
Multi-Target Tracking (MTT) are important in many applications. In this work, we address the …

A priori knowledge of target detection probability is of critical importance in the Gaussian
mixture probability hypothesis density (PHD) and cardinalized PHD (CPHD) filters. In …

Cooperative localization in agent networks based on interagent time-of-flight measurements
is closely related to synchronization. To leverage this relation, we propose a Bayesian factor …

The noncooperative target tracking is an important issue for the Internet of Underwater
Things (IoUT). Autonomous underwater vehicles (AUVs) are preferred options to achieve the …