TIANCHENG
LI
Investigador en el periodo 2014-2018
Osaka Institute of Technology
Osaka, JapónPublicaciones en colaboración con investigadores/as de Osaka Institute of Technology (11)
2019
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Joint Smoothing and Tracking Based on Continuous-Time Target Trajectory Function Fitting
IEEE Transactions on Automation Science and Engineering, Vol. 16, Núm. 3, pp. 1476-1483
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Partial consensus and conservative fusion of gaussian mixtures for distributed PHD fusion
IEEE Transactions on Aerospace and Electronic Systems, Vol. 55, Núm. 5, pp. 2150-2163
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Second-order statistics analysis and comparison between arithmetic and geometric average fusion: Application to multi-sensor target tracking
Information Fusion, Vol. 51, pp. 233-243
2018
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A Robust Multi-Sensor PHD Filter Based on Multi-Sensor Measurement Clustering
IEEE Communications Letters, Vol. 22, Núm. 10, pp. 2064-2067
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Distributed Flooding-then-Clustering: A Lazy Networking Approach for Distributed Multiple Target Tracking
2018 21st International Conference on Information Fusion, FUSION 2018
2017
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Clustering for filtering: Multi-object detection and estimation using multiple/massive sensors
Information Sciences, Vol. 388-389, pp. 172-190
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Convergence of distributed flooding and its application for distributed Bayesian filtering
IEEE Transactions on Signal and Information Processing over Networks, Vol. 3, Núm. 3, pp. 580-591
2016
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Algorithm design for parallel implementation of the SMC-PHD filter
Signal Processing, Vol. 119, pp. 115-127
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Effectiveness of Bayesian filters: An information fusion perspective
Information Sciences, Vol. 329, pp. 670-689
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Numerical fitting-based likelihood calculation to speed up the particle filter
International Journal of Adaptive Control and Signal Processing, Vol. 30, Núm. 11, pp. 1583-1602
2015
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Resampling methods for particle filtering: identical distribution, a new method, and comparable study
Frontiers of Information Technology and Electronic Engineering, Vol. 16, Núm. 11, pp. 969-984