We review some advances of the particle filtering (PF) algorithm that have been achieved in
the last decade in the context of target tracking, with regard to either a single target or …

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

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 …

This paper presents the generalized optimal sub-pattern assignment (GOSPA) metric on the
space of finite sets of targets. Compared to the well-established optimal sub-pattern …

Multitarget tracking (MTT) refers to the problem of jointly estimating the number of targets
and their states or trajectories from noisy sensor measurements. MTT has a long history …

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 …

Recent developments in random finite sets (RFSs) have yielded a variety of tracking
methods that avoid data association. This paper derives a form of the full Bayes RFS filter …

Multiobject tracking provides situational awareness that enables new applications for
modern convenience, public safety, and homeland security. This paper presents a factor …

The nascent applicability of multi-camera tracking (MCT) in numerous real-world
applications makes it a significant computer vision problem. While visual tracking of objects …