133 citations · 512 across the 26 of their papers we have counts for
7 papers · 1 filter
Fusion of labeled RFS densities with minimum information loss
Lin Gao, Giorgio Battistelli, Luigi Chisci
This paper addresses fusion of labeled random finite set (LRFS) densities according to the criterion of minimum information loss (MIL). The MIL criterion amounts to minimizing the…
5G mmWave Cooperative Positioning and Mapping using Multi-Model PHD Filter and Map Fusion
Hyowon Kim, Karl Granström, Lin Gao +3
5G millimeter wave (mmWave) signals can enable accurate positioning in vehicular networks when the base station and vehicles are equipped with large antenna arrays. However, radio-…
Resilience for stochastic systems interacting via a quasi-degenerate network
Sara Nicoletti, Duccio Fanelli, Niccolò Zagli +6
A stochastic reaction-diffusion model is studied on a networked support. In each patch of the network two species are assumed to interact following a non-normal reaction scheme. Wh…
Distributed Multi-sensor Multi-view Fusion based on Generalized Covariance Intersection
Guchong Li, Giorgio Battistelli, Wei Yi +1
Distributed multi-target tracking (DMTT) is addressed for sensors having different fields of view (FoVs). The proposed approach is based on the idea of fusing the posterior Probabi…
Multiobject fusion with minimum information loss
Lin Gao, Giorgio Battistelli, Luigi Chisci
Generalized covariance intersection (GCI) has been effective in fusing multiobject densities from multiple agents for multitarget tracking and mapping purposes. From an information…
Event-triggered distributed Bayes filter
Giorgio Battistelli, Luigi Chisci, Lin Gao +1
The aim of this paper is to devise a strategy that is able to reduce communication bandwidth and, consequently, energy consumption in the context of distributed state estimation ov…
Distributed Joint Sensor Registration and Multitarget Tracking Via Sensor Network
Lin Gao, Giorgio Battistelli, Luigi Chisci +1
This paper addresses distributed registration of a sensor network for multitarget tracking. Each sensor gets measurements of the target position in a local coordinate frame, having…