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Hantao Li, Jiye Li
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Confidence 99%
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pubmed
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No local citing links have been materialized yet.
Tracking multiple underwater targets using adaptive Gaussian mixture probability hypothesis density filter with unknown clutter rate
10.1109/taes.2024.3437343 · 2024
Convex-based lightweight feature descriptor for Augmented Reality Tracking
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Improved GGIW-PHD filter for maneuvering non-ellipsoidal extended targets or group targets tracking based on sub-random matrices
10.1371/journal.pone.0192473 · 2018
Extended emitter target tracking using GM-PHD filter
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GP-PDA filter for extended target tracking with measurement origin uncertainty
10.1109/taes.2018.2875555 · 2018
An adaptive online co-search method with distributed samples for dynamic target tracking
10.1109/tcst.2017.2669154 · 2018
Artificial intelligence applications in the development of autonomous vehicles: a survey
10.1109/jas.2020.1003021 · 2020
Deep imitation learning for autonomous vehicles based on convolutional neural networks
10.1109/jas.2019.1911825 · 2020
10.23919/fusion43075.2019.9011179
10.23919/fusion43075.2019.9011179
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europepmc
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openalex
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doaj
Confidence 92%
datacite
Confidence 0%
Extended object tracking using Monte Carlo methods
10.1109/tsp.2007.907851 · 2008
Bayesian approach to extended object and cluster tracking using random matrices
10.1109/taes.2008.4655362 · 2008
A GM-PHD algorithm for multiple target tracking based on false alarm detection with irregular window
10.1016/j.sigpro.2015.10.007 · 2016
A novel transformer-aided multiple model algorithm for maneuvering target tracking
10.1109/jsen.2024.3482563 · 2024
Simulation of deep learning-based multitarget track association for ballistic target groups
10.1109/jsen.2025.3601590 · 2025
Measurement-driven sequential random sample consensus GM-PHD filter for ballistic target tracking
10.1016/j.ymssp.2020.107407 · 2021
Robust fusion of GM-PHD filters based on geometric average
10.1016/j.sigpro.2022.108912 · 2023
The Gaussian mixture probability hypothesis density filter
10.1109/tsp.2006.881190 · 2006
Unresolved referenced work
2007
Unresolved referenced work
Kept as external metadata until matched
A phd filter for tracking multiple extended targets using random matrices
10.1109/tsp.2012.2212888 · 2012
Development of a N-type GM-PHD filter for multiple target, multiple type visual tracking
10.1016/j.jvcir.2019.01.026 · 2019
Extended target tracking using a Gaussian-mixture PHD filter
10.1109/taes.2012.6324703 · 2012
Tracking dependent extended targets using multi-output spatiotemporal Gaussian processes
10.1109/tits.2022.3154926 · 2022
Extended target tracking using Gaussian processes
10.1109/tsp.2015.2424194 · 2015
Multiple extended target joint tracking and classification based on GPs and LMB filter
10.1109/lsp.2024.3383954 · 2024
10.23919/fusion59988.2024.10706382
10.23919/fusion59988.2024.10706382
Multiple extended target joint tracking and classification using RMM and TPHD filter
10.1109/lsp.2025.3625895 · 2025
Unresolved referenced work
Kept as external metadata until matched
10.1117/12.3060973
10.1117/12.3060973
Application of an efficient graph-based partitioning algorithm for extended target tracking using GM-PHD filter
10.1109/taes.2020.2990803 · 2020
Tracking of multiple closely spaced extended targets based on prediction-driven measurement sub-partitioning algorithm
10.3390/app10145004 · 2020
10.1109/icsps66615.2025.11348024
10.1109/icsps66615.2025.11348024
Learning and inferring a driver’s braking action in car-following scenarios
10.1109/tvt.2018.2793889 · 2018
A learning-based vehicle trajectory-tracking approach for autonomous vehicles with LiDAR failure under various lighting conditions
10.1109/tmech.2021.3077388 · 2022
Spatio-temporal gaussian process models for extended and group object tracking with irregular shapes
10.1109/tvt.2019.2891006 · 2019
10.1109/icif.2010.5711885
10.1109/icif.2010.5711885
A learning-based personalized driver model using bounded generalized Gaussian mixture models
10.1109/tvt.2019.2948911 · 2019
Estimating driver’s lane-change intent considering driving style and contextual traffic
10.1109/tits.2018.2873595 · 2019
Distributed data clustering over networks
10.1016/j.patcog.2019.04.021 · 2019
Improved GM-PHD filter with birth intensity and spawned intensity estimation based on trajectory situation feedback control
10.3390/rs14071683 · 2022
A consistent metric for performance evaluation of multi-object filters
10.1109/tsp.2008.920469 · doi-reference
Identifying outliers of non-Gaussian groundwater state data based on ensemble estimation for long-term trends
10.1016/j.jhydrol.2017.02.058 · doi-reference
Improved GM-PHD filter with birth intensity and spawned intensity estimation based on trajectory situation feedback control
10.3390/rs14071683 · doi-reference
Distributed data clustering over networks
10.1016/j.patcog.2019.04.021 · doi-reference
Estimating driver’s lane-change intent considering driving style and contextual traffic
10.1109/tits.2018.2873595 · doi-reference
A learning-based personalized driver model using bounded generalized Gaussian mixture models
10.1109/tvt.2019.2948911 · doi-reference
10.1109/icif.2010.5711885
10.1109/icif.2010.5711885 · doi-reference
Spatio-temporal gaussian process models for extended and group object tracking with irregular shapes
10.1109/tvt.2019.2891006 · doi-reference
A learning-based vehicle trajectory-tracking approach for autonomous vehicles with LiDAR failure under various lighting conditions
10.1109/tmech.2021.3077388 · doi-reference
Learning and inferring a driver’s braking action in car-following scenarios
10.1109/tvt.2018.2793889 · doi-reference
10.1109/icsps66615.2025.11348024
10.1109/icsps66615.2025.11348024 · doi-reference
Tracking of multiple closely spaced extended targets based on prediction-driven measurement sub-partitioning algorithm
10.3390/app10145004 · doi-reference
Application of an efficient graph-based partitioning algorithm for extended target tracking using GM-PHD filter
10.1109/taes.2020.2990803 · doi-reference
10.1117/12.3060973
10.1117/12.3060973 · doi-reference
Multiple extended target joint tracking and classification using RMM and TPHD filter
10.1109/lsp.2025.3625895 · doi-reference
10.23919/fusion59988.2024.10706382
10.23919/fusion59988.2024.10706382 · doi-reference
Multiple extended target joint tracking and classification based on GPs and LMB filter
10.1109/lsp.2024.3383954 · doi-reference
Extended target tracking using Gaussian processes
10.1109/tsp.2015.2424194 · doi-reference
Tracking dependent extended targets using multi-output spatiotemporal Gaussian processes
10.1109/tits.2022.3154926 · doi-reference
Extended target tracking using a Gaussian-mixture PHD filter
10.1109/taes.2012.6324703 · doi-reference
Development of a N-type GM-PHD filter for multiple target, multiple type visual tracking
10.1016/j.jvcir.2019.01.026 · doi-reference
A phd filter for tracking multiple extended targets using random matrices
10.1109/tsp.2012.2212888 · doi-reference
The Gaussian mixture probability hypothesis density filter
10.1109/tsp.2006.881190 · doi-reference
Robust fusion of GM-PHD filters based on geometric average
10.1016/j.sigpro.2022.108912 · doi-reference
Measurement-driven sequential random sample consensus GM-PHD filter for ballistic target tracking
10.1016/j.ymssp.2020.107407 · doi-reference
Simulation of deep learning-based multitarget track association for ballistic target groups
10.1109/jsen.2025.3601590 · doi-reference
A novel transformer-aided multiple model algorithm for maneuvering target tracking
10.1109/jsen.2024.3482563 · doi-reference
A GM-PHD algorithm for multiple target tracking based on false alarm detection with irregular window
10.1016/j.sigpro.2015.10.007 · doi-reference
Bayesian approach to extended object and cluster tracking using random matrices
10.1109/taes.2008.4655362 · doi-reference
Extended object tracking using Monte Carlo methods
10.1109/tsp.2007.907851 · doi-reference
10.23919/fusion43075.2019.9011179
10.23919/fusion43075.2019.9011179 · doi-reference
Deep imitation learning for autonomous vehicles based on convolutional neural networks
10.1109/jas.2019.1911825 · doi-reference
Artificial intelligence applications in the development of autonomous vehicles: a survey
10.1109/jas.2020.1003021 · doi-reference
An adaptive online co-search method with distributed samples for dynamic target tracking
10.1109/tcst.2017.2669154 · doi-reference
GP-PDA filter for extended target tracking with measurement origin uncertainty
10.1109/taes.2018.2875555 · doi-reference
Improved GGIW-PHD filter for maneuvering non-ellipsoidal extended targets or group targets tracking based on sub-random matrices
10.1371/journal.pone.0192473 · doi-reference
Tracking multiple underwater targets using adaptive Gaussian mixture probability hypothesis density filter with unknown clutter rate
10.1109/taes.2024.3437343 · doi-reference