Search Results for author: Tiancheng Li

Found 4 papers, 0 papers with code

A Technical Note on (Labeled) RFS-AA Fusion: Derivation from PHD Consistency

no code implementations21 Sep 2022 Tiancheng Li

The arithmetic average (AA) fusion is a fundamental information fusion methodology which has recently demonstrated great performance for multi-sensor tracking of a random number of objects based on the random finite set (RFS) theory.

Point Processes

Multi-sensor Suboptimal Fusion Student's $t$ Filter

no code implementations23 Apr 2022 Tiancheng Li, Zheng Hu, ZhunGa Liu, Xiaoxu Wang

A multi-sensor fusion Student's $t$ filter is proposed for time-series recursive estimation in the presence of heavy-tailed process and measurement noises.

Time Series

A Computationally Efficient Approach to Non-cooperative Target Detection and Tracking with Almost No A-priori Information

no code implementations20 Apr 2021 Tiancheng Li, Hongqi Fan

This paper addresses the problem of real-time detection and tracking of a non-cooperative target in the challenging scenario with almost no a-priori information about target birth, death, dynamics and detection probability.

Fighting Sample Degeneracy and Impoverishment in Particle Filters: A Review of Intelligent Approaches

no code implementations12 Aug 2013 Tiancheng Li, Shudong Sun, Tariq P. Sattar, Juan M. Corchado

We are 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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