T
Tiancheng Li
Researcher at Northwestern Polytechnical University
Publications - 136
Citations - 2706
Tiancheng Li is an academic researcher from Northwestern Polytechnical University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 23, co-authored 89 publications receiving 1896 citations. Previous affiliations of Tiancheng Li include Peking University & University of Salamanca.
Papers
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Journal ArticleDOI
Resampling Methods for Particle Filtering: Classification, implementation, and strategies
TL;DR: The state of the art of resampling methods was reviewed and the methods were classified and their properties were compared in the framework of the proposed classifications to provide guidelines to practitioners and researchers.
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Review: Fight sample degeneracy and impoverishment in particle filters: A review of intelligent approaches
TL;DR: This work is investigating methods that are particularly efficient at Particle Distribution Optimization (PDO) to fight sample degeneracy and impoverishment, with an emphasis on intelligence choices.
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A Survey of Recent Advances in Particle Filters and Remaining Challenges for Multitarget Tracking
TL;DR: This review examines the intractable challenges raised within the general multitarget (multi-sensor) tracking due to random target birth and termination, false alarm, misdetection, measurement-to-track (M2T) uncertainty and track uncertainty.
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Deterministic resampling: Unbiased sampling to avoid sample impoverishment in particle filters
TL;DR: A novel resampling algorithm (called Deterministic Resampling) is proposed, which avoids uncensored discarding of low weighted particles thereby avoiding sample impoverishment and indicates that estimation accuracy is better than traditional methods with an affordable computation burden.
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Algorithm design for parallel implementation of the SMC-PHD filter
TL;DR: A fully and unbiasedly parallel implementation framework of the SMC-PHD filtering is proposed based on the centralized distributed system that consists of one central unit (CU) and several independent processing elements (PEs).