Results 1 to 10 of about 738 (116)

FGO-PMB: A Factor Graph Optimized Poisson Multi-Bernoulli Filter for Accurate Online 3D Multi-Object Tracking [PDF]

Sensors
Three-dimensional multi-object tracking (3D MOT) plays a vital role in enabling reliable perception for LiDAR-based autonomous systems. However, LiDAR measurements often exhibit sparsity, occlusion, and sensor noise that lead to uncertainty and ...
Jingyi Jin, Jindong Zhang, Yiming Wang, Yitong Liu   +3 more
doaj   +2 more sources

Multiple model trajectory poisson multi-bernoulli mixtures filter for tracking multiple maneuvering objects [PDF]

Scientific Reports
Multi-object tracking (MOT) in cluttered and dynamic environments remains challenging, especially for maneuvering objects. While trajectory-based random finite set (RFS) filters provide principled solutions for trajectory estimation, they typically rely ...
Ibrahim Salim, Nermeen Okasha, Mohamed Barbary, Wagdy Anis   +3 more
doaj   +2 more sources

Secure Fusion with Labeled Multi-Bernoulli Filter for Multisensor Multitarget Tracking Against False Data Injection Attacks [PDF]

Sensors
This paper addresses multisensor multitarget tracking where the sensor network can potentially be compromised by false data injection (FDI) attacks. The existence of the targets is not known and time-varying.
Yihua Yu, Yuan Liang
doaj   +2 more sources

Random Finite Set Based Parameter Estimation Algorithm for Identifying Stochastic Systems

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
doaj   +3 more sources

Sensor Control in Anti-Submarine Warfare—A Digital Twin and Random Finite Sets Based Approach

Entropy, 2019
Since the submarine has become the major threat to maritime security, there is an urgent need to find a more efficient method of anti-submarine warfare (ASW).
Peng Wang, Mei Yang, Yong Peng, Jiancheng Zhu, Rusheng Ju, Quanjun Yin   +5 more
doaj   +3 more sources

A Two-Stage Feature Point Detection and Marking Approach Based on the Labeled Multi-Bernoulli Filter

Sensors, 2022
In recent years, various algorithms using random finite sets (RFS) to solve the issue of simultaneous localization and mapping (SLAM) have been proposed.
Jiahui Yang, Weifeng Liu
doaj   +1 more source

Multi-sensor tracking with partly overlapping FoV using detection field of probability modeling and the GLMB filter

EURASIP Journal on Advances in Signal Processing, 2023
In this paper, we consider multi-sensor with partly overlapping field of view (FoV) in the labeled random finite set (L-RFS) framework. This is different from most existing multi-sensor tracking algorithms, where the sensors are assumed to have the same ...
Weifeng Liu, Qiliang Liu, Yimei Chen, Hailong Cui   +3 more
doaj   +1 more source

Adaptive Marginal Multi-Target Bayes Filter without Need for Clutter Density for Object Detection and Tracking

Applied Sciences, 2023
The random finite set (RFS) approach for multi-target tracking is widely researched because it has a rigorous theoretical basis. However, many prior parameters such as the clutter density, survival probability and detection probability of the target ...
Zongxiang Liu, Chunmei Zhou, Junwen Luo
doaj   +1 more source

A general cardinalized probability hypothesis density filter

EURASIP Journal on Advances in Signal Processing, 2022
Based on random finite set, the probability hypothesis density (PHD) filter and the cardinalized PHD (CPHD) filter have been proposed for multitarget tracking as they are computational tractable.
Xinglin Shen, Zhiyong Song, Hongqi Fan, Qiang Fu   +3 more
doaj   +1 more source

A Multisource Multi-Bernoulli Filter for Multistatic Radar

IEEE Access, 2022
Compared with conventional monostatic or bistatic radar, multistatic radar has wider coverage, better performance of localization and higher tracking accuracy.
Xueqin Zhou, Hong Ma, Jiang Jin, Hang Xu
doaj   +1 more source