133 citations · 512 across the 26 of their papers we have counts for
19 papers · 1 filter
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…
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…
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…
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…
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…
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…
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…
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…
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…
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.…
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…
Decentralized consensus finite-element Kalman filter for field estimation
Giorgio Battistelli, Luigi Chisci, Nicola Forti +2
The paper deals with decentralized state estimation for spatially distributed systems described by linear partial differential equations from discrete in-space-and-time noisy measu…
Moving horizon estimation for discrete-time linear systems with binary sensors: algorithms and stability results
Giorgio Battistelli, Luigi Chisci, Stefano Gherardini
The paper addresses state estimation for linear discrete-time systems with binary (threshold) measurements. A Moving Horizon Estimation (MHE) approach is followed and different est…
Switching Control for Parameter Identifiability of Uncertain Systems
G. Battistelli, P. Tesi
This paper considers the problem of identifying the parameters of an uncertain linear system by means of feedback control. The problem is approached by considering time-varying con…
Detecting Topology Variations in Dynamical Networks
G. Battistelli, P. Tesi
This paper considers the problem of detecting topology variations in dynamical networks. We consider a network whose behavior can be represented via a linear dynamical system. The…
Consensus Labeled Random Finite Set Filtering for Distributed Multi-Object Tracking
C. Fantacci, B. -N. Vo, B. -T. Vo +2
This paper addresses distributed multi-object tracking over a network of heterogeneous and geographically dispersed nodes with sensing, communication and processing capabilities. T…