Results 21 to 30 of about 785,259 (279)

A Sector-Matching Probability Hypothesis Density Filter for Radar Multiple Target Tracking

Applied Sciences, 2023
The development of high-tech, dim, small targets, such as drones and cruise missiles, brings great challenges to radar multi-target tracking (MTT), making it necessary to extend the beam dwell time to obtain a high signal-to-noise ratio (SNR).
Jialin Yang, Defu Jiang, Jin Tao, Yiyue Gao, Xingchen Lu, Yan Han, Ming Liu   +6 more
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Multiple‐model Gaussian mixture probability hypothesis density filter based on jump Markov system with state‐dependent probabilities

IET Radar, Sonar & Navigation, 2022
The Gaussian mixture probability density (GM‐PHD) filter has become a popular approach to solve the multiple‐target tracking (MTT) problem because it can effectively and efficiently estimate the number of targets and target states that change over time ...
Yi‐Chieh Sun, Dohyeung Kim, Inseok Hwang   +2 more
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A Radar Multi-target Tracking Algorithm Based on Gaussian Mixture PHD Filter under Doppler Blind Zone

Leida xuebao, 2017
Due to the Doppler Blind Zone (DBZ), the target tracking of Doppler radar becomes more and more complicated. In this paper, a multi-target tracking algorithm based on Gaussian Mixture Probability Hypothesis Density (GM-PHD) for DBZ is proposed.
Wei Qiang, Liu Zhong
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Active Sonar Target Tracking Based on the GM-CPHD Filter Algorithm [PDF]

Xibei Gongye Daxue Xuebao, 2018
The estimation of underwater multi-target state has always been the difficult problem of active sonar target tracking.In order to get the variable number of target and their state, the random finite set theory is applied to multi-target tracking system ...

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IAH “G.M. Zuppi” PhD Award 2017

Acque Sotterranee, 2017
Not available.
Viviana Re
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Real-Time Trajectory Prediction Method for Intelligent Connected Vehicles in Urban Intersection Scenarios

Sensors, 2023
Intelligent connected vehicles (ICVs) have played an important role in improving the intelligence degree of transportation systems, and improving the trajectory prediction capability of ICVs is beneficial for traffic efficiency and safety. In this paper,
Pangwei Wang, Hongsheng Yu, Cheng Liu, Yunfeng Wang, Rongsheng Ye   +4 more
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Strong Tracking PHD Filter Based on Variational Bayesian with Inaccurate Process and Measurement Noise Covariance

Sensors, 2021
Assuming that the measurement and process noise covariances are known, the probability hypothesis density (PHD) filter is effective in real-time multi-target tracking; however, noise covariance is often unknown and time-varying for an actual scene.
Zhentao Hu, Linlin Yang, Yong Jin, Han Wang, Shibo Yang   +4 more
doaj   +1 more source

Antigen-specific influence of GM/KM allotypes on IgG isotypes and association of GM allotypes with susceptibility to Plasmodium falciparum malaria [PDF]

, 2009
Background Plasmodium falciparum malaria is a complex disease in which genetic and environmental factors influence susceptibility. IgG isotypes are in part genetically controlled, and GM/KM allotypes are believed to be involved in this control.
Thor G Theander, Troye-Blomberg, Marita,, Marita Troye-Blomberg, ElGhazali, Gehad, ElGhazali Gehad, Janardan P Pandey, Giha, Hayder A., Pandey, Janardan P, Giha Hayder A, Iriemenam, Nnaemeka C., Nasr, Amre, Gehad ElGhazali, David Arnot, Giha, Hayder A, Nasr, Amre,, Troye-Blomberg, Marita, Theander, Thor G., Pandey, Janardan P., Berzins, Klavs, Berzins Klavs, Berzins, Klavs,, Hayder A Giha, Nnaemeka C Iriemenam, Theander, Thor G, Theander Thor G, Iriemenam, Nnaemeka C, Troye-Blomberg Marita, Nasr Amre, Klavs Berzins, Iriemenam Nnaemeka C, Arnot, David, Amre Nasr, Arnot David, Pandey Janardan P, Iriemenam, Nnaemeka C.,   +34 more
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Cubature Information Gaussian Mixture Probability Hypothesis Density Approach for Multi Extended Target Tracking

IEEE Access, 2019
In multi-extended target tracking, each target may generate more than one observation. The traditional probability hypothesis density (PHD)-based methods are no longer effective in such scenarios.
Zhe Liu, Linna Ji, Fengbao Yang, Xiqiang Qu, Zhiliang Yang, Dongze Qin   +5 more
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Improved Labeled GM-PHD Algorithm for Scenario with Crossing Target [PDF]

Jisuanji gongcheng, 2018
In multi-target tracking system,some targets will be lost in the tracking when the targets are crossing or closed to each other used by Gaussian Mixture-Probability Hypothesis Density(GM-PHD).In order to solve this problem,an improved algorithm for ...
CHEN Jinguang,ZHAO Tiantian,WANG Mingming,WANG Wei
doaj   +1 more source