2024-03-28T08:55:47Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1358142024-03-13T09:53:02Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134243
Wang, Xuedong
f57a88c6-53e0-4270-a7a3-89728f0ffdfc
500
Li, Tiancheng
684adce5-0c12-4b45-b140-7789b6ad6ee7
500
Sun, Shudong
cf37ef85-3a3c-41e1-aa64-f571b761af56
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Corchado RodrÃguez, Juan Manuel
843
600
2017-12-21T12:18:44Z
2017-12-21T12:18:44Z
2017
Wang, X., Li, T., Sun, S., Corchado, J.M. (2017). A Survey of Recent Advances in Particle Filters and Remaining Challenges for Multitarget Tracking. Sensors, 17
1424-8220
http://hdl.handle.net/10366/135814
[EN]We review some advances of the particle filtering (PF) algorithm that have been achieved
in the last decade in the context of target tracking, with regard to either a single target or multiple
targets in the presence of false or missing data. The first part of our review is on remarkable
achievements that have been made for the single-target PF from several aspects including importance
proposal, computing efficiency, particle degeneracy/impoverishment and constrained/multi-modal
systems. The second part of our review is on analyzing the intractable challenges raised within
the general multitarget (multi-sensor) tracking due to random target birth and termination, false
alarm, misdetection, measurement-to-track (M2T) uncertainty and track uncertainty. The mainstream
multitarget PF approaches consist of two main classes, one based on M2T association approaches and
the other not such as the finite set statistics-based PF. In either case, significant challenges remain due
to unknown tracking scenarios and integrated tracking management.
eng
MDPI Publishing (Basilea, Suiza)
Attribution-NonCommercial-NoDerivs 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
Computer science
Particle filter
Target tracking
Nonlinear filter
Monte Carlo sampling
Bayesian inference
A Survey of Recent Advances in Particle Filters and Remaining Challenges for Multitarget Tracking
info:eu-repo/semantics/article
http://dx.doi.org/10.3390/s17122707
TEXT
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2024-03-13 10:53:02.57
Gestión del Repositorio Documental de la Universidad de Salamanca
oca@usal.es
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