264 citations · 1.1k across the 18 of their papers we have counts for
3 papers · 1 filter
Joint Smoothing, Tracking, and Forecasting Based on Continuous-Time Target Trajectory Fitting
Tiancheng Li, Huimin Chen, Shudong Sun +1
We present a continuous time state estimation framework that unifies traditionally individual tasks of smoothing, tracking, and forecasting (STF), for a class of targets subject to…
Do we always need a filter?
Tiancheng Li, Juan M. Corchado, Javier Bajo +2
Since the groundbreaking work of the Kalman filter in the 1960s, considerable effort has been devoted to various discrete time filters for dynamic state estimation, especially incl…
Adapting sample size in particle filters through KLD-resampling
Tiancheng Li, Shudong Sun, Tariq Pervez Sattar
This letter provides an adaptive resampling method. It determines the number of particles to resample so that the Kullback-Leibler distance (KLD) between distribution of particles…