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The GM-JMNS-CPHD Filtering Algorithm for Nonlinear Systems Based on a Generalized Covariance Intersection
2024
Sensors
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Some fusion criteria in multisensor and multitarget motion tracking cannot be directly applied to nonlinear motion models, as the fusion accuracy applied in nonlinear systems is relatively low. ...
The simulation results show that, compared with algorithms such as Sensor1, Sensor2, GCI-GM-CPHD, and GICI-GM-CPHD, this algorithm has smaller optimal subpattern assignment (OSPA) errors and a higher fusion ...
criteria not being applicable to nonlinear motion models and the low fusion accuracy in multisensor and multiobjective motion tracking, achieving multisensor, multiobjective, and nonlinear motion tracking ...
doi:10.3390/s24051508
pmid:38475045
pmcid:PMC10934300
fatcat:3vw6qivjpnfzhn653gcydhryla
Improved Distributed Multisensor Fusion Method Based on Generalized Covariance Intersection
2022
Journal of Sensors
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In response to the multitarget tracking problem of distributed sensors with a limited detection range, a distributed sensor measurement complementary Gaussian component correlation GCI fusion tracking ...
GCI fusion is performed on each correlated subset to complete the fusion state estimation. ...
The algorithm can improve the robustness of distributed multisensor networks for multitarget tracking in dense clutter environment while maintaining computational efficiency, which proves the effectiveness ...
doi:10.1155/2022/6348938
fatcat:m2x5wm57yfhftcj36gtr2tcd7u
Real-Time Multitarget Tracking for Panoramic Video Based on Dual Neural Networks for Multisensor Information Fusion
2022
Mathematical Problems in Engineering
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A multitarget real-time tracking system for panoramic video with multisensor information fusion dual neural networks is studied and implemented by combining dual neural networks, fused geometric features ...
The simulation experimental results show that the integrated position estimation accuracy of the multisensor information fusion dual neural network-based panoramic video multitarget real-time tracking ...
Research on Real-Time Multitarget Tracking of Panoramic Video Based on Dual Neural Networks for Multisensor Information Fusion
Dual Neural Network Tracking Model for Multisensor Information Fusion. ...
doi:10.1155/2022/8313471
fatcat:soiwm5sbovawxfrxuvs47ydyoy
Table of contents
2021
IEEE Transactions on Systems, Man & Cybernetics. Systems
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Wang 5652
Robust Hybrid Feedback Linearization and Interval Type-2 Fuzzy Control System for the Flapping ...
Estimation for Multisensor Multirate Systems With Packet Dropout Compensations and Correlated Noises . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/tsmc.2021.3098912
fatcat:3p3xsnfz5rdzlf4e2uwgbnklum
Sensor Mathematical Model Data Fusion Biobjective Optimization
2022
Journal of Sensors
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In this paper, a highly sensitive fiber optic sensor for measuring temperature and refractive index is prepared by using femtosecond laser micromachining technology and fiber fusion technology. ...
The sensor-data model interfusion with each other for mutual integration performs the demonstration of the application. ...
of multisensor information fusion. ...
doi:10.1155/2022/1612715
fatcat:wtkdu52fi5ahxenpwtpoafoxda
Sensor-Based Environmental Perception Technology for Intelligent Vehicles
2021
Journal of Sensors
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Target detection, target recognition, and multisensor fusion are analyzed in the optimized part of sensor results. ...
The accuracy and robustness of the perception algorithm will directly affect or even determine the realization of the upper function of intelligent vehicles. ...
Multisensor Fusion/Result Optimization Processing
Target Detection and Identification. ...
doi:10.1155/2021/8199361
fatcat:hw4m3ikkhfcstl33nxmdcdcxzu
Research on Intelligent Vehicle Detection and Tracking Method Based on Multivision Information Fusion
2022
Mobile Information Systems
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Finally, the application of 3D reconstruction of road scene and obstacle detection technology based on binocular vision and visual navigation algorithm in intelligent vehicle trajectory tracking control ...
matching, and does not match the interference problems, if used in the intelligent vehicle systems, it can reduce the thermal loss of electronic components and wear of actuator parts and improve the tracking ...
, multiobjective constraint. ...
doi:10.1155/2022/6230713
fatcat:aqcqdmavrfdp7eqiiyjwl6pyye
Decentralized Poisson Multi-Bernoulli Filtering for Vehicle Tracking
[article]
2020
arXiv
pre-print
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An efficient implementation is achieved by parametric state representation, utilization of single hypothesis tracks, and fusion of vehicle information based on a fusion mapping. ...
A decentralized Poisson multi-Bernoulli filter is proposed to track multiple vehicles using multiple high-resolution sensors. ...
Robust Posterior Fusion: Principle Robust posterior fusion can be achieved by minimizing the KLA between RFS densities f (·) and f s (·) for s = 1, . . . , N sens with respect to f (·). ...
arXiv:1901.04518v2
fatcat:ly53zwdcefgvlmux7dxyhcumem
Table of contents
2021
IEEE Transactions on Cybernetics
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Aldape-Pérez 1272 Iterative Learning Tracking for Multisensor Systems: A Weighted Optimization Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
Zhang 1430 MADNet: A Fast and Lightweight Network for Single-Image Super Resolution . .
1286 Zero-Error Consensus Tracking With Preassignable Convergence for Nonaffine Multiagent Systems
. . Y. ...
doi:10.1109/tcyb.2021.3056825
fatcat:pza7bdbwyfcwpawvsvl3l5ybd4
The Optimization Assignment Model of Multi-sensor Resource Management Based on Rough Entropy
2015
International Journal of Grid and Distributed Computing
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For example, assigning radar to track the target, give priority to track whose the largest threaten goal is more reasonable. ...
At same time, we adopted maximum information gain optimization criterion in target tracking, then discussed optimization assignment problem about multisensor to multi-target. ...
Reference [1] proposed sensor search strategy based on the maximum detection probability, which is a higher success rates strategy for searching a single goal, but higher error rates for multiobjective ...
doi:10.14257/ijgdc.2015.8.5.23
fatcat:extjt7zjjzhoje3kmnhe7rifka
Interactive Road Situation Analysis for Driver Assistance and Safety Warning Systems: Framework and Algorithms
2007
IEEE transactions on intelligent transportation systems (Print)
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fusion approach is introduced to fuse these sensors. ...
Real-time processing, given incomplete and uncertain information, is a challenge for current object detection and tracking technologies. ...
Multisensor multiobject detection and tracking systems have received considerable attention over the last five years [2] , [3] , [7] , [8] , [14] - [18] . ...
doi:10.1109/tits.2006.890073
fatcat:wya4phrca5byhjccfc3irc2tsy
Review of Multi-Target Tracking Technology for Marine Radar
2021
Journal of Radars
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Multi-Target Tracking (MTT) is a difficult task in radar data processing. When compared to tracking in various fields or scenario, Maritime MTT (MMTT) is a challenging one and also a daunting task. ...
On one hand, low signal-to-clutter ratio in the highly complex marine environment limits the detection performance for small targets at sea, and the plots obtained by the detector contain missing detections ...
Multiobject tracking for generic observation model using labeled random finite sets[J]. ...
doi:10.12000/jr20081
doaj:9433bb96219444d6a679ced2964e083a
fatcat:c5tl2kvhxbgvnaloxzjz77m5li
Decentralized Poisson Multi-Bernoulli Filtering for Vehicle Tracking
2020
IEEE Access
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An efficient implementation is achieved by parametric state representation, utilization of single hypothesis tracks, and fusion of vehicle information based on a fusion mapping. ...
INDEX TERMS Gaussian processes, multitarget tracking, posterior fusion, target extent. 126414 This work is licensed under a Creative Commons Attribution 4.0 License. ...
ROBUST POSTERIOR FUSION: PRINCIPLE Robust posterior fusion can be achieved by minimizing the KLA between RFS densities f (·) and f s (·) for s = 1, . . . , N sens with respect to f (·). ...
doi:10.1109/access.2020.3008007
fatcat:j7tu5ofburaxnj6zmq3sn227ue
Karst Collapse Monitoring and Early Warning Evaluation Method Based on Multisensor Internet of Things
2022
Computational Intelligence and Neuroscience
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To this end, this article proposes an improved method for multisensor data fusion. It optimizes and improves the transmission and delivery efficiency of its data. ...
This makes the improved multisensor more in line with the research content of this article in terms of monitoring efficiency. ...
proposed a new method for distributed multitarget tracking using a multistatic radar system. e method is based on the use of generalized covariance intersection (GCI) of multiobjective densities in a multiobjective ...
doi:10.1155/2022/2099268
pmid:35634044
pmcid:PMC9132626
fatcat:sn3upbmjgveffpahhyxbqfvge4
A 3D Multiobject Tracking Algorithm of Point Cloud Based on Deep Learning
2020
Mathematical Problems in Engineering
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Given the good performance of the 2D MOT, this paper proposes a 3D MOT algorithm with deep learning based on the multiobject tracking algorithm. ...
3D multiobject tracking (MOT) is an important part of road condition detection and hazard warning algorithm in roadside systems and autonomous driving systems. ...
Object tracking algorithm is divided into single-object tracking algorithms [13] and multiobject tracking algorithms [14] . ...
doi:10.1155/2020/8895696
fatcat:fbq24uaek5gehihsopkhjysoou
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