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Random Finite Set Based Parameter Estimation Algorithm for Identifying Stochastic Systems [PDF]
Entropy, 2018 Parameter estimation is one of the key technologies for system identification. The Bayesian parameter estimation algorithms are very important for identifying stochastic systems.
Peng Wang, Ge Li, Yong Peng, Rusheng Ju
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Distributed Space Debris Tracking with Consensus Labeled Random Finite Set Filtering [PDF]
Sensors, 2018 Space debris tracking is a challenge for spacecraft operation because of the increasing number of both satellites and the amount of space debris. This paper investigates space debris tracking using marginalized δ -generalized labeled multi ...
Baishen Wei, Brett Nener
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Random Finite Set Based Bayesian Filtering with OpenCL in a Heterogeneous Platform [PDF]
Sensors, 2017 While most filtering approaches based on random finite sets have focused on improving performance, in this paper, we argue that computation times are very important in order to enable real-time applications such as pedestrian detection. Towards this goal,
Biao Hu +7 more
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Time-Matching Random Finite Set-Based Filter for Radar Multi-Target Tracking [PDF]
Sensors, 2018 The random finite set (RFS) approach provides an elegant Bayesian formulation of the multi-target tracking (MTT) problem without the requirement of explicit data association.
Defu Jiang +5 more
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Compositions of Random Functions on a Finite Set [PDF]
The Electronic Journal of Combinatorics, 2002 If we compose sufficiently many random functions on a finite set, then the composite function will be constant. We determine the number of compositions that are needed, on average. Choose random functions $f_1, f_2,f_3,\dots $ independently and uniformly from among the $n^n$ functions from $[n]$ into $[n]$.
Avinash Dalal, Eric Schmutz
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Bayes‐optimal tracking of two statistically correlated targets in general clutter
IET Signal Processing, 2022 The Bernoulli filter is a very general, computationally feasible Bayes‐optimal approach for tracking a single disappearing and reappearing target, using a single sensor whose observations are corrupted by missed detections and a known, general point ...
Ronald Mahler
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Set Functions and Probability Distributions of a Finite Random Sets [PDF]
Journal of Siberian Federal University. Mathematics & Physics, 2017 Summary: This paper is the investigation of the probability distributions of a finite random set in which the set of random events are considered as a support of the finite random set. These probability distributions can be defined by six equivalent ways (distributions of the I-st-VI-th type). Each of these types of the probability distributions is the
Lukyanova, Natalia A. +2 more
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IEEE Access, 2021 Defect detection in the manufacturing industry is of utmost importance for product quality inspection. Recently, optical defect detection has been investigated as anomaly detection using different deep learning methods.
Ammar Mansoor Kamoona +3 more
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Random Finite Set-based Extended Target Tracking Method with Amplitude Information
Leida xuebao, 2020 The random finite set-based extended target tracking methods generally partition measurements by spatial information. It is possible to place clutter measurements into target cells in a dense clutter environment resulting in degradation of tracking ...
Chao LIU +3 more
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Labeled random finite sets vs. trajectory random finite sets
CoRR, 2023 The paper [12] discussed two approaches for multitarget tracking (MTT): the generalized labeled multi-Bernoulli (GLMB) filter and three Poisson multi-Bernoulli mixture (PMBM) filters. The paper [13] discussed two frameworks for multitarget trajectory representation--labeled random finite set (LRFS) and set of trajectories (SoT)--and the merging of SoT ...
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