TianCheng Li
TianCheng Li
Professor, School of Automation, Northwestern Polytechnical University
Verified email at usal.es - Homepage
Cited by
Cited by
Resampling Methods for Particle Filtering: Classification, implementation, and strategies
T Li, M Bolic, PM Djuric
IEEE Signal Processing Magazine 32 (3), 70-86, 2015
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
Deterministic resampling: unbiased sampling to avoid sample impoverishment in particle filters
T Li, TP Sattar, S Sun
Signal Processing 92 (7), 1637-1645, 2012
Algorithm design for parallel implementation of the SMC-PHD filter
T Li, S Sun, M Bolić, JM Corchado
Signal Processing 119, 115-127, 2016
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
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
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
Adapting sample size in particle filters through KLD-resampling
T Li, S Sun, TP Sattar
Electronics Letters 49 (12), 740 – 742, 2013
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
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
Particle Filtering: Theory, Approach, and Application for Multitarget Tracking
T Li, S Sun, H Fan
Acta Automatica Sinica 41 (12), 1981-2002, 2015
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
Effectiveness of Bayesian filters: An information fusion perspective
T Li, JM Corchado, J Bajo, S Sun, JFD Paz
Information Sciences 329, 670-689, 2016
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
High-speed Sigma-gating SMC-PHD filter
T Li, S Sun, TP Sattar
Signal Processing 93 (9), 2586-2593, 2013
李天成, 孙树栋, 高扬
机器人 32 (4), 547-552, 2010
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
Multi-EAP: Extended EAP for multi-estimate extraction for SMC-PHD filter
T Li, JM Corchado, S Sun, H Fan
Chinese Journal of Aeronautics 30 (1), 368-379, 2017
Convergence of Distributed Flooding and Its Application for Distributed Bayesian Filtering
T Li, J Corchado, J Prieto
IEEE Transactions on Signal and Information Processing over Networks 3 (3 …, 2017
Clustering for filtering: Multi-object detection and estimation using multiple/massive sensors
T Li, JM Corchado, S Sun, J Bajo
Information Sciences 388, 172-190, 2017
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