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An Efficient Labeled/Unlabeled Random Finite Set Algorithm for Multiobject Tracking [PDF]

IEEE Transactions on Aerospace and Electronic Systems, 2022
In this article, we propose an efficient random finite set (RFS)-based algorithm for multiobject tracking, in which the object states are modeled by a combination of a labeled multi-Bernoulli (LMB) RFS and a Poisson RFS.
Florian Meyer, Thomas Kropfreiter, Franz Hlawatsch   +2 more
exaly   +2 more sources

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3D Multi-Object Tracking using Random Finite Set-based Multiple Measurement Models Filtering (RFS-M³) for Autonomous Vehicles

2021 IEEE International Conference on Robotics and Automation (ICRA), 2021
Multiple object tracking (MOT) is a critical module for enabling autonomous vehicles to achieve safe planing and navigation in cluttered environments. In tracking-by-detection systems, there are inevitably many false positives and misses among learning-based input detections.
Su Pang, Daniel D. Morris, Hayder Radha
openaire   +1 more source

Tracking an unknown time-varying number of speakers using TDOA measurements: a random finite set approach

IEEE Transactions on Signal Processing, 2006
-Speaker location estimation techniques based on time-difference-of-arrival (TDOA) measurements have attracted much attention recently. Many existing localization ideas assume that only one speaker is active at a time.
Wing-Kin Ma, Adrian Baddeley, Ba-Ngu Võ   +2 more
exaly   +1 more source

Labeled Random Finite Sets and Multi-Object Conjugate Priors

IEEE Transactions on Signal Processing, 2013
The objective of multi-object estimation is to simultaneously estimate the number of objects and their states from a set of observations in the presence of data association uncertainty, detection uncertainty, false observations, and noise.
Ba Tuong Võ, Ba-Ngu Võ
exaly   +3 more sources

Multiple vehicle cooperative localization under random finite set framework [PDF]

, 2013
—This paper presents a new multiple vehicle cooper-ative localization approach based on Random Finite Set (RFS) theory. Assuming vehicles are equipped with proprioceptive and exteroceptive sensors to localize the positions, a solution based on RFS ...
Christian Buckl, Feihu Zhang, Guang Chen   +2 more
exaly   +2 more sources

Multiple Attacks Detection in Cyber-Physical Systems Using Random Finite Set Theory

IEEE Transactions on Cybernetics, 2020
Zhiguo Shi, Xiufang Shi, Heng Zhang
exaly  

Random Finite Set Theory for Cyber-Physical Systems Cybersecurity: Review and Advance

2022
Chaoqun Yang, Xianghui Cao
exaly  

Adaptive Multi‐Bernoulli Filter Without Need of Prior Birth Multi‐Bernoulli Random Finite Set

Chinese Journal of Electronics, 2018
Peng Lei, Jinping Sun
exaly  

Random Finite Sets for Robot Mapping and SLAM

Springer Tracts in Advanced Robotics, 2011
M D Adams, Ba Tuong Võ, Ba-Ngu Võ
exaly  

A new type of random finite set for multi-target tracking

2016
Tuyet Vu
exaly