Подписаться
TianCheng Li
TianCheng Li
Professor, School of Automation, Northwestern Polytechnical University
Подтвержден адрес электронной почты в домене nwpu.edu.cn - Главная страница
Название
Процитировано
Процитировано
Год
Resampling Methods for Particle Filtering: Classification, implementation, and strategies
T Li, M Bolic, PM Djuric
IEEE Signal Processing Magazine 32 (3), 70-86, 2015
7492015
Fight sample degeneracy and impoverishment in particle filters: A review of intelligent approaches
T Li, S Sun, TP Sattar, JM Corchado
Expert Systems with Applications 41 (8), 3944-3954, 2014
3252014
Deterministic resampling: unbiased sampling to avoid sample impoverishment in particle filters
T Li, TP Sattar, S Sun
Signal Processing 92 (7), 1637-1645, 2012
1882012
A survey of recent advances in particle filters and remaining challenges for multitarget tracking
X Wang, T Li, S Sun, JM Corchado
Sensors 17 (12), 2707, 2017
1862017
Second-Order Statistics Analysis and Comparison between Arithmetic and Geometric Average Fusion: Application to Multi-sensor Target Tracking
T Li, H Fan, J García, JM Corchado
Information Fusion 51, 233-243, 2019
1622019
A particle dyeing approach for track continuity for the SMC-PHD filter
T Li, S Sun, JM Corchado, MF Siyau
17th International Conference on Information Fusion (FUSION), 1-8, 2014
1552014
Algorithm design for parallel implementation of the SMC-PHD filter
T Li, S Sun, M Bolić, JM Corchado
Signal Processing 119, 115-127, 2016
1542016
Partial consensus and conservative fusion of Gaussian mixtures for distributed PHD fusion
T Li, JM Corchado, S Sun
IEEE Transactions on Aerospace and Electronic Systems 55 (5), 2150-2163, 2019
1522019
On Arithmetic Average Fusion and Its Application for Distributed Multi-Bernoulli Multitarget Tracking
T Li, X Wang, Y Liang, Q Pan
IEEE Transactions on Signal Processing 68 (1), 2883-2896, 2020
1282020
Joint Smoothing and Tracking Based on Continuous-Time Target Trajectory Function Fitting
T Li, H Chen, S Sun, JM Corchado
IEEE Transactions on Automation Science and Engineering 16 (3), 1476-1483, 2019
1132019
Random finite set-based Bayesian filters using magnitude-adaptive target birth intensity
T Li, S Sun, JM Corchado, MF Siyau
17th International Conference on Information Fusion (FUSION), 1-8, 2014
1042014
Adapting sample size in particle filters through KLD-resampling
T Li, S Sun, TP Sattar
Electronics Letters 49 (12), 740 – 742, 2013
982013
Approximate Gaussian conjugacy: parametric recursive filtering under nonlinearity, multimodality, uncertainty, and constraint, and beyond
T Li, J Su, W Liu, JM Corchado
Frontiers of Information Technology & Electronic Engineering 18 (12), 1913-1939, 2017
942017
A distributed particle-PHD filter using arithmetic-average fusion of Gaussian mixture parameters
T Li, F Hlawatsch
Information Fusion 73, 111-124, 2021
892021
Resampling methods for particle filtering: identical distribution, a new method and comparable study
T Li, G Villarrubia, S Sun, JM Corchado, B Javier
Frontiers of Information Technology & Electronic Engineering 16 (11), 969-984, 2015
892015
Recent advances in multisensor multitarget tracking using random finite set
K Da, T Li, Y Zhu, H Fan, Q Fu
Frontiers of Information Technology & Electronic Engineering 22 (1), 5-24, 2021
802021
Particle Filtering: Theory, Approach, and Application for Multitarget Tracking
T Li, S Sun, H Fan
Acta Automatica Sinica 41 (12), 1981-2002, 2015
78*2015
Kullback-Leibler averaging for multitarget density fusion
K Da, T Li, Y Zhu, H Fan, Q Fu
Distributed Computing and Artificial Intelligence, 16th International …, 2020
712020
Effectiveness of Bayesian filters: An information fusion perspective
T Li, JM Corchado, J Bajo, S Sun, JFD Paz
Information Sciences 329, 670-689, 2016
712016
Local Diffusion based Distributed SMC-PHD Filtering Using Sensors with Limited Sensing Range
T Li, V Elvira, H Fan, JM Corchado
IEEE Sensors Journal 19 (4), 1580 - 1589, 2019
672019
В данный момент система не может выполнить эту операцию. Повторите попытку позднее.
Статьи 1–20