Possibility Generalized Labeled Multi-Bernoulli Filter for Multi-Target Tracking Under Epistemic Uncertainty-Reference-Cited by-同舟云学术

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Possibility Generalized Labeled Multi-Bernoulli Filter for Multi-Target Tracking Under Epistemic Uncertainty

Published:2022 Issue: Volume: Page:1-16
ISSN:0018-9251
Container-title:IEEE Transactions on Aerospace and Electronic Systems
language:
Short-container-title:IEEE Trans. Aerosp. Electron. Syst.

Author:

Cai Han¹^ORCID,Houssineau Jeremie²^ORCID,Jones Brandon A³^ORCID,Jah Moriba³,Zhang Jingrui¹

Affiliation:

1. Department of Aerospace Engineering, Beijing Institute of Technology, Beijing, China

2. Department of Statistics, University of Warwick, Coventry, U.K.

3. Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Austin, TX, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Aerospace Engineering

Link

http://xplorestaging.ieee.org/ielx7/7/7778228/09863650.pdf?arnumber=9863650

Reference34 articles.

1. Estimation of geosynchronous space objects using finite set statistics filtering methods;gehly,2016

2. Multisensor Tasking Using Analytical Rényi Divergence in Labeled Multi-Bernoulli Filtering

3. A Solution for Large-Scale Multi-Object Tracking

4. Multi-Sensor Multi-Object Tracking With the Generalized Labeled Multi-Bernoulli Filter

5. Void Probabilities and Cauchy–Schwarz Divergence for Generalized Labeled Multi-Bernoulli Models

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