activity
20152024
most citedRobust Distributed Fusion with Labeled Random Finite Sets

133 citations · 512 across the 26 of their papers we have counts for

collaborators

29 papers

cs.CV2024

Extended Object Tracking and Classification based on Linear Splines

Matteo Tesori, Giorgio Battistelli, Luigi Chisci

This paper introduces a framework based on linear splines for 2-dimensional extended object tracking and classification. Unlike state of the art models, linear splines allow to rep…

eess.SY2024

Efficient dual-scale generalized Radon-Fourier transform detector family for long time coherent integration

Suqi Li, Yihan Wang, Bailu Wang +3

Long Time Coherent Integration (LTCI) aims to accumulate target energy through long time integration, which is an effective method for the detection of a weak target. However, for…

eess.SP2021

A Variational Bayes Moving Horizon Estimation Adaptive Filter with Guaranteed Stability

Xiangxiang Dong, Giorgio Battistelli, Luigi Chisci +1

This paper addresses state estimation of linear systems with special attention on unknown process and measurement noise covariances, aiming to enhance estimation accuracy while pre…

eess.SP2021★ 1 cited

Multi-sensor joint target detection, tracking and classification via Bernoulli filter

Gaiyou Li, Ping Wei, Giorgio Battistelli +2

This paper focuses on \textit{joint detection, tracking and classification} (JDTC) of a target via multi-sensor fusion. The target can be present or not, can belong to different cl…

eess.SY2021★ 1 cited

Principled information fusion for multi-view multi-agent surveillance systems

Bailu Wang, Suqi Li, Giorgio Battistelli +2

A key objective of multi-agent surveillance systems is to monitor a much larger region than the limited field-of-view (FoV) of any individual agent by successfully exploiting coope…

eess.SY2020

Distributed multi-view multi-target tracking based on CPHD filtering

Guchong Li, Giorgio Battistelli, Luigi Chisci +2

This paper addresses distributed multi-target tracking (DMTT) over a network of sensors having different fields-of-view (FoVs). Specifically, a cardinality probability hypothesis d…

cond-mat.stat-mech2020

Generating directed networks with prescribed Laplacian spectra

Sara Nicoletti, Timoteo Carletti, Duccio Fanelli +2

Complex real-world phenomena are often modeled as dynamical systems on networks. In many cases of interest, the spectrum of the underlying graph Laplacian sets the system stability…

eess.SY2019★ 86 cited

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…

eess.SP2019★ 14 cited

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-…

cond-mat.dis-nn2019★ 13 cited

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…

eess.SY2019★ 87 cited

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…

eess.SY2019★ 1 cited

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…

eess.SY2019

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…

eess.SY2019★ 2 cited

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…

eess.SY2018★ 11 cited

MAP moving horizon estimation for threshold measurements with application to field monitoring

Giorgio Battistelli, Luigi Chisci, Nicola Forti +1

The paper deals with state estimation of a spatially distributed system given noisy measurements from pointwise-in-time-and-space threshold sensors spread over the spatial domain o…

eess.SY2018★ 5 cited

MAP moving horizon state estimation with binary measurements

Giorgio Battistelli, Luigi Chisci, Nicola Forti +1

The paper addresses state estimation for discrete-time systems with binary (threshold) measurements by following a Maximum A posteriori Probability (MAP) approach and exploiting a…

eess.SY2018

Classification for Dynamical Systems: Model-based Approach and Support Vector Machines

Giorgio Battistelli, Pietro Tesi

We consider the problem of classifying trajectories generated by dynamical systems. We investigate a model-based approach, the common approach in control engineering, and a data-dr…

cond-mat.stat-mech2018★ 1 cited

Spectral control for ecological stability

Giulia Cencetti, Franco Bagnoli, Giorgio Battistelli +2

A system made up of N interacting species is considered. Self-reaction terms are assumed of the logistic type. Pairwise interactions take place among species according to different…

eess.SY2017★ 133 cited

Robust Distributed Fusion with Labeled Random Finite Sets

Suqi Li, Wei Yi, Reza Hoseinnezhad +3

This paper considers the problem of the distributed fusion of multi-object posteriors in the labeled random finite set filtering framework, using Generalized Covariance Intersectio…

eess.SY2017★ 1 cited

Consensus-based joint target tracking and sensor localization

Lin Gao, Giorgio Battistelli, Luigi Chisci +1

In this paper, consensus-based Kalman filtering is extended to deal with the problem of joint target tracking and sensor self-localization in a distributed wireless sensor network.…

physics.soc-ph2017★ 7 cited

Control of multidimensional systems on complex network

Giulia Cencetti, Franco Bagnoli, Giorgio Battistelli +2

Multidimensional systems coupled via complex networks are widespread in nature and thus frequently invoked for a large plethora of interesting applications. From ecology to physics…

eess.SY2016

Joint attack detection and secure state estimation of cyber-physical systems

Nicola Forti, Giorgio Battistelli, Luigi Chisci +1

This paper deals with secure state estimation of cyber-physical systems subject to switching (on/off) attack signals and injection of fake packets (via either packet substitution o…

cond-mat.stat-mech2016★ 17 cited

Global topological control for synchronized dynamics on networks

Giulia Cencetti, Franco Bagnoli, Giorgio Battistelli +3

A general scheme is proposed and tested to control the symmetry breaking instability of a homogeneous solution of a spatially extended multispecies model, defined on a network. The…

cs.RO2016★ 38 cited

Memory Unscented Particle Filter for 6-DOF Tactile Localization

Giulia Vezzani, Ugo Pattacini, Giorgio Battistelli +2

This paper addresses 6-DOF (degree-of-freedom) tactile localization, i.e. the pose estimation of tridimensional objects given tactile measurements. This estimation problem is funda…