This work presents the current state-of-the-art in techniques for tracking a number of objects
moving in a coordinated and interacting fashion. Groups are structured objects …

Two decades ago, with the publication, we witnessed the rebirth of particle filtering (PF) as a
methodology for sequential signal processing. Since then, PF has become very popular …

More and more terrestrial observational networks are being established to monitor climatic,
hydrological and land-use changes in different regions of the World. In these networks, time …

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 …

The prediction of remaining useful life plays a significant role in prognostics and health
management, which can give helpful reference for maintenance. The construction of health …

This paper presents an enhanced particle filter (PF) approach for predicting remaining
useful life (RUL) of rolling bearings. In the presented approach, particles in each recursive …

Incorporating intelligence in industrial systems can help to increase productivity, cut-off
production costs, and to improve working conditions and safety in industrial environments …

THE multi-object filtering problem is a logical and fundamental generalization of the
ubiquitous single-object vector filtering problem. Multi-object filtering essentially concerns …

Multipath is known to be one of the most dominant sources of accuracy degradation in
satellite-based navigation systems. Multipath may cause biased position estimates that …

Motion control of mobile robots and efficient trajectory tracking is usually based on prior
estimation of the robots' state vector. To this end Gaussian and nonparametric filters (state …