JIPDA Filtering with Information Diffusion
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F24%3A00379739" target="_blank" >RIV/68407700:21240/24:00379739 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.23919/EUSIPCO63174.2024.10715094" target="_blank" >https://doi.org/10.23919/EUSIPCO63174.2024.10715094</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/EUSIPCO63174.2024.10715094" target="_blank" >10.23919/EUSIPCO63174.2024.10715094</a>
Alternative languages
Result language
angličtina
Original language name
JIPDA Filtering with Information Diffusion
Original language description
The paper introduces a novel collaborative method for multi-target tracking in cluttered environments. Based on the information diffusion framework, the proposed approach involves agents sharing observations and/or posterior estimates with neighboring agents within one hop distance. No intermediate iterations are employed to achieve global agreement, as in consensus algorithms, nor is there a single point of failure, as in algorithms with a fusion center. The tracking method is based on the joint integrated probabilistic data association (JIPDA) filter, which is adapted to accurately incorporate neighbors' observations and optimally fuse available estimates. The ultimate goal is to improve the tracking performance by overcoming the intrinsic uncertainty of target-measurement association and object detection. The method is computationally cheap and does not require any numerical optimization. Simulation results clearly demonstrate the performance of the proposed method.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 32nd European Signal Processing Conference (EUSIPCO 2024)
ISBN
979-8-3315-1977-3
ISSN
2219-5491
e-ISSN
2076-1465
Number of pages
5
Pages from-to
2477-2481
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
New York
Event location
Lyon
Event date
Aug 26, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001349787000495