activity
20162024
most citedDistributed Fusion with Multi-Bernoulli Filter based on Generalized Covariance Intersection

148 citations · 377 across the 8 of their papers we have counts for

collaborators

8 papers

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.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.SY2019★ 91 cited

Computationally Efficient Distributed Multi-sensor Fusion with Multi-Bernoulli Filter

Wei Yi, Suqi Li, Bailu Wang +2

This paper proposes a computationally efficient algorithm for distributed fusion in a sensor network in which multi-Bernoulli (MB) filters are locally running in every sensor node…

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.SY2016★ 1 cited

Multi-object Tracking for Generic Observation Model Using Labeled Random Finite Sets

Suqi Li, Wei Yi, Reza Hoseinnezhad +2

This paper presents an exact Bayesian filtering solution for the multi-object tracking problem with the generic observation model. The proposed solution is designed in the labeled…

eess.SY2016

Principled Random Finite Set Approximations of Labeled Multi-Object Densities

Suqi Li, Wei Yi, Bailu Wang +1

As a fundamental piece of multi-object Bayesian inference, multi-object density has the ability to describe the uncertainty of the number and values of objects, as well as the stat…

eess.SY2016★ 3 cited

Distributed Fusion of Labeled Multi-Object Densities Via Label Spaces Matching

Bailu Wang, Wei Yi, Suqi Li +2

In this paper, we address the problem of the distributed multi-target tracking with labeled set filters in the framework of Generalized Covariance Intersection (GCI). Our analyses…

eess.SY2016★ 148 cited

Distributed Fusion with Multi-Bernoulli Filter based on Generalized Covariance Intersection

Bailu Wang, Wei Yi, Reza Hoseinnezhad +3

In this paper, we propose a distributed multi-object tracking algorithm through the use of multi-Bernoulli (MB) filter based on generalized Covariance Intersection (G-CI). Our anal…